Wireless sensor networks are currently the greatest innovation in the field of telecommunications. WSNs
have a wide range of potential applications, including security and surveillance, control, actuation and
maintenance of complex systems and fine-grain monitoring of indoor and outdoor environments. However
security is one of the major aspects of Wireless sensor networks due to the resource limitations of sensor
nodes. Those networks are facing several threats that affect their functioning and their life. In this paper we
present security attacks in wireless sensor networks, and we focus on comparison and analysis of recent
Intrusion Detection schemes in WSNs.
Wireless Sensor Network (WSN) has a huge range of applications such as battlefield,
surveillance, emergency rescue operation and smart home technology etc. Apart from its
inherent constraints such as limited memory and energy resources, when deployed in hostile
environmental conditions, the sensor nodes are vulnerable to physical capture and other
security constraints. These constraints put security as a major challenge for the researchers in
the field of computer networking. This paper reflects various issues and challenges related to
security of WSN, its security architecture. The paper also provides a discussion on various
security mechanisms deployed in WSN environment to overcome its security threats.
Wireless Sensor Network (WSN) has a huge range of applications such as battlefield,surveillance, emergency rescue operation and smart home technology etc. Apart from its inherent constraints such as limited memory and energy resources, when deployed in hostile environmental conditions, the sensor nodes are vulnerable to physical capture and other security constraints. These constraints put security as a major challenge for the researchers in the field of computer networking. This paper reflects various issues and challenges related to security of WSN, its security architecture. The paper also provides a discussion on various security mechanisms deployed in WSN environment to overcome its security threats.
This document summarizes security schemes for wireless sensor networks, including TinySec, IEEE 802.15.4, and others. It discusses the challenges of WSNs like power constraints and limited resources. It also outlines common security threats to WSNs such as denial of service attacks, attacks on information in transit, Sybil attacks, black hole/sinkhole attacks, and hello flood attacks. The document evaluates the feasibility of applying basic security schemes like cryptography and steganography to WSNs given their unique constraints and requirements.
This document discusses security issues related to wireless sensor networks. It begins with an introduction to wireless sensor networks and an overview of security challenges due to limited sensor node capabilities. It then summarizes common attacks on different layers of wireless sensor networks and discusses security objectives. The document outlines key areas of research on sensor network security including key management, secure time synchronization, and secure routing. It provides details on different key management schemes, time synchronization protocols, and discusses vulnerabilities of existing synchronization schemes to various attacks.
This document summarizes a research paper about denial of service (DoS) attacks on wireless sensor networks. It begins by outlining some key security goals for wireless sensor networks, including data confidentiality, integrity, availability, and authentication. It then discusses DoS attacks specifically, noting they aim to degrade efficient use of network resources. The document proposes that DoS attacks can occur at different layers of the OSI model. It provides examples of physical layer attacks like jamming and describes how frequency hopping can help counter jamming. In closing, it notes DoS attacks threaten the availability security goal for wireless sensor networks.
A Simple Agent Based Model for Detecting Abnormal Event Patterns in a Distrib...
This document proposes an agent-based model for detecting abnormal event patterns in a distributed wireless sensor network. The model uses rule-based classification and naive Bayesian classification to identify abnormal sensor nodes. It is embedded between cluster heads and the base station in a two-tier hierarchical network architecture. In experiments, the model successfully detected various common attacks and calculated the percentage of abnormal events detected with low false positive rates.
Wireless Sensor Networks: An Overview on Security Issues and Challenges
Wireless Sensor Networks (WSNs) are formed by deploying as large number of sensor nodes in an area for the surveillance of generally remote locations. A typical sensor node is made up of different components to perform the task of sensing, processing and transmitting data. WSNs are used for many applications in diverse forms from indoor deployment to outdoor deployment. The basic requirement of every application is to use the secured network. Providing security to the sensor network is a very challenging issue along with saving its energy. Many security threats may affect the functioning of these networks. WSNs must be secured to keep an attacker from hindering the delivery of sensor information and from forging sensor information as these networks are build for remote surveillance and unauthorized changes in the sensed data may lead to wrong information to the decision makers. This paper gives brief description about various security issues and security threats in WSNs.
Distributed Intrusion Detection System for Wireless Sensor Networks
This document discusses distributed intrusion detection systems for wireless sensor networks. It begins by providing background on wireless sensor networks and the security issues they face, such as denial of service attacks, routing attacks, and Sybil attacks. Traditional intrusion detection systems cannot be directly applied to wireless sensor networks due to their resource constraints. The document then examines the need for intrusion detection systems in wireless sensor networks to provide a second line of defense against attacks. It outlines features an intrusion detection system should have to be suitable for wireless sensor networks, such as being distributed, minimizing resource usage, and not trusting any single node. Finally, it categorizes different types of intrusion detection system architectures for wireless sensor networks, including stand-alone, distributed
This document summarizes security issues in mobile ad hoc networks (MANETs). It discusses that MANETs rely on wireless communication, which is more vulnerable to security attacks than wired networks. Key characteristics of MANETs like lack of infrastructure, open connectivity, and dynamic topology make them susceptible targets. The document provides taxonomy of network attacks and analyzes attacks at different layers. It proposes solutions to address MANET security challenges according to criteria like availability, integrity, and confidentiality.
A NOVEL SECURITY PROTOCOL FOR WIRELESS SENSOR NETWORKS BASED ON ELLIPTIC CURV...IJCNCJournal
With the growing usage of wireless sensors in a variety of applications including Internet of Things, the security aspects of wireless sensor networks have been on priority for the researchers. Due to the constraints of resources in wireless sensor networks, it has been always a challenge to design efficient security protocols for wireless sensor networks. An novel elliptic curve signcryption based security protocol for wireless sensor networks has been presented in this paper, which provides anonymity, confidentiality, mutual authentication, forward security, secure key establishment, and key privacy at the same time providing resistance from replay attack, impersonation attack, insider attack, offline dictionary attack, and stolen-verifier attack. Results have revealed that the proposed elliptic curve signcryption based protocol consumes the least time in comparison to other protocols while providing the highest level of security.
Analysis of denial of service (dos) attacks in wireless sensor networkseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
CROSS LAYER INTRUSION DETECTION SYSTEM FOR WIRELESS SENSOR NETWORKIJNSA Journal
The wireless sensor networks (WSN) are particularly vulnerable to various attacks at different layers of the protocol stack. Many intrusion detection system (IDS) have been proposed to secure WSNs. But all these systems operate in a single layer of the OSI model, or do not consider the interaction and collaboration between these layers. Consequently these systems are mostly inefficient and would drain out the WSN. In this paper we propose a new intrusion detection system based on cross layer interaction between the network, Mac and physical layers. Indeed we have addressed the problem of intrusion detection in a different way in which the concept of cross layer is widely used leading to the birth of a new type of IDS. We have experimentally evaluated our system using the NS simulator to demonstrate its effectiveness in detecting different types of attacks at multiple layers of the OSI model.
Wireless Sensor Network (WSN) has a huge range of applications such as battlefield,
surveillance, emergency rescue operation and smart home technology etc. Apart from its
inherent constraints such as limited memory and energy resources, when deployed in hostile
environmental conditions, the sensor nodes are vulnerable to physical capture and other
security constraints. These constraints put security as a major challenge for the researchers in
the field of computer networking. This paper reflects various issues and challenges related to
security of WSN, its security architecture. The paper also provides a discussion on various
security mechanisms deployed in WSN environment to overcome its security threats.
Wireless Sensor Network (WSN) has a huge range of applications such as battlefield,surveillance, emergency rescue operation and smart home technology etc. Apart from its inherent constraints such as limited memory and energy resources, when deployed in hostile environmental conditions, the sensor nodes are vulnerable to physical capture and other security constraints. These constraints put security as a major challenge for the researchers in the field of computer networking. This paper reflects various issues and challenges related to security of WSN, its security architecture. The paper also provides a discussion on various security mechanisms deployed in WSN environment to overcome its security threats.
This document summarizes security schemes for wireless sensor networks, including TinySec, IEEE 802.15.4, and others. It discusses the challenges of WSNs like power constraints and limited resources. It also outlines common security threats to WSNs such as denial of service attacks, attacks on information in transit, Sybil attacks, black hole/sinkhole attacks, and hello flood attacks. The document evaluates the feasibility of applying basic security schemes like cryptography and steganography to WSNs given their unique constraints and requirements.
This document discusses security issues related to wireless sensor networks. It begins with an introduction to wireless sensor networks and an overview of security challenges due to limited sensor node capabilities. It then summarizes common attacks on different layers of wireless sensor networks and discusses security objectives. The document outlines key areas of research on sensor network security including key management, secure time synchronization, and secure routing. It provides details on different key management schemes, time synchronization protocols, and discusses vulnerabilities of existing synchronization schemes to various attacks.
This document summarizes a research paper about denial of service (DoS) attacks on wireless sensor networks. It begins by outlining some key security goals for wireless sensor networks, including data confidentiality, integrity, availability, and authentication. It then discusses DoS attacks specifically, noting they aim to degrade efficient use of network resources. The document proposes that DoS attacks can occur at different layers of the OSI model. It provides examples of physical layer attacks like jamming and describes how frequency hopping can help counter jamming. In closing, it notes DoS attacks threaten the availability security goal for wireless sensor networks.
A Simple Agent Based Model for Detecting Abnormal Event Patterns in a Distrib...CSCJournals
This document proposes an agent-based model for detecting abnormal event patterns in a distributed wireless sensor network. The model uses rule-based classification and naive Bayesian classification to identify abnormal sensor nodes. It is embedded between cluster heads and the base station in a two-tier hierarchical network architecture. In experiments, the model successfully detected various common attacks and calculated the percentage of abnormal events detected with low false positive rates.
Wireless Sensor Networks: An Overview on Security Issues and ChallengesIJAEMSJORNAL
Wireless Sensor Networks (WSNs) are formed by deploying as large number of sensor nodes in an area for the surveillance of generally remote locations. A typical sensor node is made up of different components to perform the task of sensing, processing and transmitting data. WSNs are used for many applications in diverse forms from indoor deployment to outdoor deployment. The basic requirement of every application is to use the secured network. Providing security to the sensor network is a very challenging issue along with saving its energy. Many security threats may affect the functioning of these networks. WSNs must be secured to keep an attacker from hindering the delivery of sensor information and from forging sensor information as these networks are build for remote surveillance and unauthorized changes in the sensed data may lead to wrong information to the decision makers. This paper gives brief description about various security issues and security threats in WSNs.
Distributed Intrusion Detection System for Wireless Sensor NetworksIOSR Journals
This document discusses distributed intrusion detection systems for wireless sensor networks. It begins by providing background on wireless sensor networks and the security issues they face, such as denial of service attacks, routing attacks, and Sybil attacks. Traditional intrusion detection systems cannot be directly applied to wireless sensor networks due to their resource constraints. The document then examines the need for intrusion detection systems in wireless sensor networks to provide a second line of defense against attacks. It outlines features an intrusion detection system should have to be suitable for wireless sensor networks, such as being distributed, minimizing resource usage, and not trusting any single node. Finally, it categorizes different types of intrusion detection system architectures for wireless sensor networks, including stand-alone, distributed
This document summarizes security issues in mobile ad hoc networks (MANETs). It discusses that MANETs rely on wireless communication, which is more vulnerable to security attacks than wired networks. Key characteristics of MANETs like lack of infrastructure, open connectivity, and dynamic topology make them susceptible targets. The document provides taxonomy of network attacks and analyzes attacks at different layers. It proposes solutions to address MANET security challenges according to criteria like availability, integrity, and confidentiality.
This document summarizes and evaluates techniques for identifying adversary attacks in wireless sensor networks. It begins by describing common types of attacks and issues with cryptographic identification methods. It then evaluates existing localization techniques like Received Signal Strength (RSS) and spatial correlation analysis. Specifically, it proposes the Generalized Model for Attack Detection (GMFAD) which uses Partitioning Around Medoids (PaM) clustering on RSS readings to detect multiple attackers. It also presents the Coherent Detection and Localization Model (CDAL-M) which integrates PaM with localization algorithms like RADAR and Bayesian networks to determine attacker locations. The document analyzes these techniques' effectiveness at detecting and localizing multiple adversary attackers in wireless sensor networks.
A review of privacy preserving techniques in wireless sensor networkAlexander Decker
This document reviews various techniques for preserving privacy in wireless sensor networks. It discusses the challenges of privacy preservation in WSNs due to their unique characteristics like resource constraints and topological constraints. It then summarizes several key techniques explored in research for preserving data privacy, source location privacy, sink location privacy and network privacy. These techniques include clustering-based approaches, random walk-based approaches and mixing-based approaches. The document concludes that while progress has been made, more research is still needed in areas like peer-to-peer network privacy preservation.
1. The document proposes a privacy-preserving routing protocol called USOR for mobile ad hoc networks that achieves content unobservability. USOR uses anonymous key establishment based on group signatures and establishes secret session keys between nodes.
2. USOR performs an unobservable route discovery process to find routes to destinations. It establishes anonymous keys between nodes without nodes knowing each other's identities. This prevents attacks while achieving key confirmation.
3. USOR pads all packets to achieve strong privacy protection and resistance to attacks from compromised nodes. It provides better anonymity, unobservability and unlinkability than existing schemes like MASK.
This document discusses security threats and attacks in wireless ad hoc networks. It begins by introducing ad hoc networks and some of the challenges in providing security in these networks due to their dynamic nature and lack of centralized authority. It then categorizes attacks as either passive or active, with passive attacks including eavesdropping and traffic analysis, and active attacks including masquerading, replay attacks, message modification, and denial-of-service attacks. The document reviews several security requirements and proposes hashing techniques as a potential solution to help secure routing protocols against various attacks. Specifically, it suggests using hash functions and hash chains to authenticate routing information and detect unauthorized modifications. The goal is to develop an efficient security approach that addresses issues like authentication, integrity
Secure intrusion detection and attack measure selectionUvaraj Shan
This document proposes NICE, a framework for secure intrusion detection and attack mitigation in virtual network systems. NICE uses distributed agents on cloud servers to monitor traffic, detect vulnerabilities, and generate attack graphs. It profiles virtual machines to identify their state and vulnerabilities. When potential attacks are detected, NICE can quarantine suspicious VMs and inspect their traffic. The attack analyzer correlates alerts, constructs attack graphs, and selects appropriate countermeasures based on the graphs. Evaluations show NICE can effectively detect attacks while minimizing performance overhead for the cloud system.
A review of privacy preserving techniques in wireless sensor networkAlexander Decker
This document reviews privacy preserving techniques in wireless sensor networks. It discusses the need for privacy in wireless sensor network applications due to various privacy attacks. It summarizes location privacy, data privacy, and network privacy techniques that have been developed to address challenges in preserving privacy for wireless sensor networks. The document also outlines unique challenges for privacy preservation in wireless sensor networks, such as an uncontrollable environment and resource constraints of sensor nodes.
An approach to dsr routing qos by fuzzy genetic algorithmsijwmn
This document summarizes a research paper that proposes improvements to the DSR routing protocol in mobile ad hoc networks through the use of genetic and fuzzy algorithms. The proposed GA-DSR protocol adds link costs to route request packets and has the destination node use the received route requests as input to a genetic algorithm to find the two best routes. It then sends these routes back to the source in a route reply packet. The protocol also uses fuzzy logic to dynamically adjust the route update period based on route error counts. The researchers believe this approach can help improve quality of service in DSR routing by selecting optimal paths based on link costs and maintaining up-to-date routes.
Analysis of security threats in wireless sensor networkijwmn
Wireless Sensor Network(WSN) is an emerging technology and explored field of researchers worldwide
in the past few years, so does the need for effective security mechanisms. The sensing technology
combined with processing power and wireless communication makes it lucrative for being exploited in
abundance in future. The inclusion of wireless communication technology also incurs various types of
security threats due to unattended installation of sensor nodes as sensor networks may interact with
sensitive data and /or operate in hostile unattended environments. These security concerns be addressed
from the beginning of the system design. The intent of this paper is to investigate the security related
issues in wireless sensor networks. In this paper we have explored general security threats in wireless
sensor network with extensive study.
Intelligent transportation system (ITS) is an application which provides intelligence to the transportation
and traffic management systems. Although the word ITS applies to all systems in the transportation but as
per the European union directive it is the application of Information and communication technology in the
field of transportation is defined as ITS. The communication technology has evolved greatly today from
2G/3G to long term evolution (LTE). In this paper we focus on the LTE and its application in the ITS. Since
LTE offers excellent QoS, wide area coverage and high availability it is a preferred choice for vehicle to
infrastructure (V2I) service. At the same time the LTE customer base is increasing day by day which results
in congestion and accessing the network to send or request resources becomes difficult. In this paper we
have proposed a group based node selection algorithm to reduce the preamble ID collision otherwise this
uncoordinated preamble ID transmission by vehicle node (VN) will eventually clog the network and there
will be a massive congestion and re-transmissions attempts by VNs to obtain the random access channel
(RACH).
A cross layer delay-aware node disjoint multipath routing algorithm for mobil...ijwmn
Mobile Ad Hoc Networks (MANETS) require reliable routing and Quality of Service(QoS) mechanism to
support diverse applications with varying and stringent requirements for delay, jitter, bandwidth, packets
loss. Routing protocols such as AODV, AOMDV, DSR and OLSR use shortest path with minimum hop
count as the main metric for path selection, hence are not suitable for delay sensitive real time
applications. To support such applications delay constrained routing protocols are employed. These
Protocols makes path selection between source and destination based on the delay over the discovered
links during routing discovery and routing table calculations. We propose a variation of a node-disjoint
Multipath QoS Routing protocol called Cross Layer Delay aware Node Disjoint Multipath AODV (CLDMAODV)
based on delay constraint. It employs cross-layer communications between MAC and routing
layers to achieve link and channel-awareness. It regularly updates the path status in terms of lowest delay
incurred at each intermediate node. Performance of the proposed protocol is compared with single path
AODV and NDMR protocols. Proposed CLDM-AODV is superior in terms of better packet delivery and
reduced overhead between intermediate nodes.
Due to the rapidly increasing data speed requirement, it has become essential to smartly utilize the available frequency spectrum. In wireless communications systems, channel quality parameters are often used to enable resource allocation techniques that improve system capacity and user quality. The uncoded bit or symbol error rate (SER) is specified as an important parameter in the second and third generation partnership project (3GPP). Nonetheless, techniques to estimate the uncoded SER are usually not much published. This paper introduces a novel uncoded bit error rate (BER) estimation method using the
accurate-bits sequence of the new channel codes over the AWGN channel. Here, we have used the new channel codes as a forward error correction coding scheme for our communication system. This paper also presents the simulation results to demonstrate and compare the estimation accuracy of the proposed method over the AWGN channel.
ENHANCED THREE TIER SECURITY ARCHITECTURE FOR WSN AGAINST MOBILE SINK REPLI...ijwmn
Recent developments on Wireless Sensor Networks have made their application in a wide range
such as military sensing and tracking, health monitoring, traffic monitoring, video surveillance and so on.
Wireless sensor nodes are restricted to computational resources, and are always deployed in a harsh,
unattended or unfriendly environment. Therefore, network security becomes a tough task and it involves
the authorization of admittance to data in a network. The problem of authentication and pair wise key
establishment in sensor networks with mobile sink is still not solved in the mobile sink replication attacks.
In q-composite key pre distribution scheme, a large number of keys are compromised by capturing a
small fraction of sensor nodes by the attacker. The attacker can easily take a control of the entire network
by deploying a replicated mobile sinks. Those mobile sinks which are preloaded with compromised keys
are used authenticate and initiate data communication with sensor node. To determine the above problem
the system adduces the three-tier security framework for authentication and pair wise key establishment
between mobile sinks and sensor nodes. The previous system used the polynomial key pre distribution
scheme for the sensor networks which handles sink mobility and continuous data delivery to the
neighbouring nodes and sinks, but this scheme makes high computational cost and reduces the life time of
sensors. In order to overcome this problem a random pair wise key pre distribution scheme is suggested
and further it helps to improve the network resilience. In addition to this an Identity Based Encryption is
used to encrypt the data and Mutual authentication scheme is proposed for the identification and
isolation of replicated mobile sink from the network.
Impact of client antenna’s rotation angle and height of 5g wi fi access point...ijwmn
This paper investigates the impact of antenna rotation’s angle at the receiver side and antenna height at
transmitter side on radio channel’s amount of fading. Amount of fading is considered as a measure of
severity of fading conditions in radio channels. It indicates how severe the fading level relative to Rayleigh
fading channel. The results give an input to optimize height of 5G Wi-Fi access point for better link
performance for different antenna’s rotation angles at receiver side. The investigation covers three
different indoor environments with different multipath dispersion levels in delay and direction domains;
lecture hall, corridor, and banquet hall.
Data mining is important process to extract the useful information and pattern from huge amount of data.
NS-2 is an efficient tool to build the environment of network. The results from simulate these environment
in NS-2 is trace file that contains several columns and lines represent the network events. This trace file
can be used to analyse the network according to performance metrics but it has redundant columns and
rows. So, this paper is to perform the data mining in order to find only the necessary information in
analysis operation to reduce the execution time and the storage size of the trace file.
Stochastic analysis of random ad hoc networks with maximum entropy deploymentsijwmn
In this paper, we present the first stochastic analysis of the link performance of an ad hoc network modelled
by a single homogeneous Poisson point process (HPPP). According to the maximum entropy principle, the
single HPPP model is mathematically the best model for random deployments with a given node density.
However, previous works in the literature only consider a modified model which shows a discrepancy in the
interference distribution with the more suitable single HPPP model. The main contributions of this paper
are as follows. 1) It presents a new mathematical framework leading to closed form expressions of the
probability of success of both one-way transmissions and handshakes for a deployment modelled by a
single HPPP. Our approach, based on stochastic geometry, can be extended to complex protocols. 2) From
the obtained results, all confirmed by comparison to simulated data, optimal PHY and MAC layer
parameters are determined and the relations between them is described in details. 3) The influence of the
routing protocol on handshake performance is taken into account in a realistic manner, leading to the
confirmation of the intuitive result that the effect of imperfect feedback on the probability of success of a
handshake is only negligible for transmissions to the first neighbour node.
Path constrained data gathering scheme for wireless sensor networks with mobi...ijwmn
This document summarizes a research paper on using mobile elements to gather data in wireless sensor networks. The paper proposes a heuristic algorithm called Graph Partitioning (GP) to address the K-Hop tour planning (KH-tour) problem of designing the shortest possible tour for a mobile element to visit a subset of sensor nodes called caching points, such that any node is at most k hops from the tour.
The GP algorithm works by first partitioning the sensor network graph into partitions where the depth of each partition is bounded by k hops. It then identifies the minimum number of caching points needed in each partition. Finally, it constructs the mobile element's tour to visit all the identified caching points.
Mobility models for delay tolerant network a surveyijwmn
Delay Tolerant Network (DTN) is an emerging networking technology that is widely used in the
environment where end-to-end paths do not exist. DTN follows store-carry-forward mechanism to route
data. This mechanism exploits the mobility of nodes and hence the performances of DTN routing and
application protocols are highly dependent on the underlying mobility of nodes and its characteristics.
Therefore, suitable mobility models are required to be incorporated in the simulation tools to evaluate DTN
protocols across many scenarios. In DTN mobility modelling literature, a number of mobility models have
been developed based on synthetic theory and real world mobility traces. Furthermore, many researchers
have developed specific application oriented mobility models. All these models do not provide accurate
evaluation in the all scenarios. Therefore, model selection is an important issue in DTN protocol
simulation. In this study, we have summarized various widely used mobility models and made a comparison
of their performances. Finally, we have concluded with future research directions in mobility modelling for
DTN simulation.
New strategy to optimize the performance of spray and wait routing protocolijwmn
Delay Tolerant Networks have been (DTN) have been developed to support the irregular connectivity often
separate networks. The main routing problem in this type of network is embarrassed by time that is
extremely long, since connections are intermittent and opportunistic. Routing protocols must take into
account the maximum constraint encountered in this type of environment , use effective strategies
regarding the choice of relay nodes and buffer management nodes to improve the delivery of messages and
the time of their delivery . This article proposes a new strategy that optimizes the routing Spray and wait.
The proposed method uses the information contained in the messages delivered mostly paths traversed by
the messages before arriving at their destination and the time when nodes have receive these messages.
Simulation results show that the proposed strategy can increase the probability of delivery and minimizing
overhead unlike FIFO technology used with the default routing ' sprat and wait'
In ad hoc networks, routing plays a pertinent role. Deploying the appropriate routing protocol is very important in order to achieve best routing performance and reliability. Equally important is the mobility model that is used in the routing protocol. Various mobility models are available and each can have different impact on the performance of the routing protocol. In this paper, we focus on this issue by examining how the routing protocol, Optimized Link State Routing protocol, behaves as the mobility model is varied. For this, three random mobility models, viz., random waypoint, random walk and random direction are considered. The performance metrics used for assessment of Optimized Link State Routing protocol are Optimized Link State Routing protocol, end-to-end delay and packet delivery ratio.
Performance analysis of voip traffic over integrating wireless lan and wan us...ijwmn
A simulation model is presented to analyze and evaluate the performance of VoIP based integrated
wireless LAN/WAN with taking into account various voice encoding schemes. The network model was
simulated using OPNET Modeler software. Different parameters that indicate the QoS like MOS, jitter,
end to end delay, traffic send and traffic received are calculated and analyzed in Wireless LAN/WAN
scenarios. Depending on this evaluation, Selection codecs G.729A consider the best choice for VoIP.
Cellular wireless systems like GSM suffer from congestion resulting in overall system degradation and poor service delivery. When the traffic demand in a geographical area is high, the input traffic rate will exceed thecapacity of the output lines. This work focused on homogenous wireless network (the network traffic and resource dimensioning that are statistically identical) such that the network performance
evaluation can be reduced to a system with single cell and a single traffic type. Such system can employa queuing model to evaluate the performance metric of a cell in terms of blocking probability.
Five congestion control models were compared in the work to ascertain their peculiarities, they are Erlang B, Erlang C, Engset (cleared), Engset (buffered), and Bernoulli. To analyze the system, an aggregate onedimensional Markov chain wasderived, such that it describes a call arrival process under the assumption
that it is Poisson distributed. The models were simulated and their results show varying performances, however the Bernoulli model (Pb5) tends to show a situation that allows more users access to the system and the congestion level remain unaffected despite increase in the number of users and the offered traffic into the system.
A major role is played in the layout and evaluation of any empirical wireless structure to manifest is the goal of this paper that counterfeit mode architectures affect counterfeit conduct, regarding structure accomplishment metrics, essentially and therefore, the excellent architecture should be explored in order to accomplish the most accurate and reliable results. It is found that the most analytical factors it is found that that actuate counterfeit mode accomplishment are counterfeit time, structure event organizing and
grade of adequate. It is, also, found that counterfeit time in relation to event existence in the real structure
along with the usage of modern architectural concepts such as multi-interweave technology complement
analytical issues too in the advancement of an adequate counterfeit organization for wireless communications. In order to evaluate the above findings an extensive empirical review has been
demeanored analysising several distinct events counterfeitorganizations towards presenting the relation
between channel designing collections, counterfeit time and structure accomplishment.
Bandwidth aware on demand multipath routing in manetsijwmn
The document proposes a modification to the AOMDV routing protocol to utilize available bandwidth in MANETs. It describes enhancing AOMDV to select multiple paths during route discovery based on available bandwidth, and using periodic detector packets to monitor bandwidth on alternate paths. Simulation results showed this bandwidth-aware multipath approach improves end-to-end throughput, packet delivery ratio, and end-to-end delay compared to the original AOMDV protocol.
A novel resource efficient dmms approach for network monitoring and controlli...ijwmn
In this paper, we propose a novel Distributed MANET Management System (DMMS) approach to use cross layer models to demonstrate a simplified way of efficiently managing the overall performance of individual network resources (nodes) and the network itself which is critical for not only monitoring the traffic, but also dynamically controlling the end-to-end Quality of Service (QoS) for different applications. In the proposed DMMS architecture, each network resource maintains a set of Management Information Base (MIB) elements and stores resource activities in their abstraction in terms of counters, timer, flag and threshold values. The abstract data is exchanged between different management agents residing in different resources on a need-to-know basis and each agent logically executes management functions locally to develop understanding of the behavior of all network resources to ensure that user protocols can function smoothly. However, in traditional network management systems, they collect statistical data such as resource usage and performance by spoofing of resources. The amount of data that is exchanged with other resources through management protocols that can be extremely high and the bandwidth for overhead management functions increases significantly. Also, the data storage requirements in each network resource for management functions increases and become inefficient as it increases the power usage for processing. Our proposed scheme targets at solving the problems.
Virtual 2 d positioning system by using wireless sensors in indoor environmentijwmn
A 2D location detection system is constructed by using Wireless Sensor Nodes (WSN) to create aVirtual
Fingerprint map, specifically designed for use in an indoor environment. WSN technologies and
programmable ZigBee wireless network protocols are employed. This system is based on radio-location
fingerprinting technique. Both Linear taper functions and exponential taper functions are utilized with the
received signal strength distributions between the fingerprint nodes to generate virtual fingerprint maps.
Thus, areal and virtual combined fingerprint map is generated across the test area. K-nearest
neighborhood algorithm has been implemented on virtual fingerprint maps, in conjunction with weight
functions used to find the coordinates of the unknown objects. The system Localization accuracies of less
than a grid space areproved in calculations.
SECURITY IN WIRELESS SENSOR NETWORKS: COMPARATIVE STUDYijcsit
This document discusses security in wireless sensor networks. It begins with an introduction to wireless sensor networks and discusses some of their applications. It then describes common security threats and attacks against wireless sensor networks, categorizing them as active/passive and internal/external. Key security requirements for wireless sensor networks are also outlined, including confidentiality, integrity, availability, and data freshness. Finally, the document reviews various security mechanisms that have been proposed to defend against different attacks in wireless sensor networks, such as cryptography, trust management, and data partitioning.
The security in wireless sensor networks (WSNS) is a very important issue. These networks may be exposed
it different attacks. With this in mind, researchers propose in this area variety of security techniques for
this purpose, and this article describes security in wireless sensor networks. Discussed threats and attacks
of wireless sensor networks. The article also aims to provide the basic information related to determining
essential requirements for the protection WSNs. Lastly, we mention some security mechanisms against
these threats and attacks in Wireless Sensor Network.
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
Wireless sensor networks are networks having non
wired infrastructure and dynamic topology. In OSI model each
layer is prone to various attacks, which halts the performance
of a network .In this paper several attacks on four layers of
OSI model are discussed and security mechanism is described
to prevent attack in network layer i.e wormhole attack. In
Wormhole attack two or more malicious nodes makes a covert
channel which attracts the traffic towards itself by depicting a
low latency link and then start dropping and replaying packets
in the multi-path route. This paper proposes promiscuous mode
method to detect and isolate the malicious node during
wormhole attack by using Ad-hoc on demand distance vector
routing protocol (AODV) with omnidirectional antenna. The
methodology implemented notifies that the nodes which are
not participating in multi-path routing generates an alarm
message during delay and then detects and isolate the
malicious node from network. We also notice that not only
the same kind of attacks but also the same kind of
countermeasures can appear in multiple layer. For example,
misbehavior detection techniques can be applied to almost all
the layers we discussed.
AN IMPROVED WATCHDOG TECHNIQUE BASED ON POWER-AWARE HIERARCHICAL DESIGN FOR I...IJNSA Journal
This document proposes an improved watchdog technique for intrusion detection in wireless sensor networks. The technique uses a hierarchical model with cluster head nodes acting as watchdogs to monitor network activity within each cell. This is intended to overcome issues with the original watchdog mechanism and reduce power consumption, extending the lifetime of sensor nodes. The algorithm for malicious node detection involves the cluster head eavesdropping on transmissions, comparing messages to a buffer, and raising warnings if messages do not match. Simulation results showed this approach increased network lifetime by around 2611 seconds compared to a non-hierarchical model.
A HIERARCHICAL INTRUSION DETECTION ARCHITECTURE FOR WIRELESS SENSOR NETWORKSIJNSA Journal
Networks protection against different types of attacks is one of most important posed issue into the network and information security application domains. This problem on Wireless Sensor Networks (WSNs), in attention to their special properties, has more importance. Now, there are some of proposed architectures and guide lines to protect Wireless Sensor Networks (WSNs) against different types of intrusions; but any one of them do not has a comprehensive view to this problem and they are usually designed and implemented in single-purpose; but, the proposed design in this paper tries to has been a comprehensive view to this issue by presenting a complete and comprehensive Intrusion Detection Architecture (IDA). The main contribution of this architecture is its hierarchical structure; i.e., it is designed and applicable, in one or two levels, consistent to the application domain and its required security level. Focus of this paper is on the clustering WSNs, designing and deploying Cluster-based Intrusion Detection System (CIDS) on cluster-heads and Wireless Sensor Network wide level Intrusion Detection System (WSNIDS) on the central server. Suppositions of the WSN and Intrusion Detection Architecture (IDA) are: static and heterogeneous network, hierarchical and clustering structure, clusters' overlapping and using hierarchical routing protocol such as LEACH, but along with minor changes. Finally, the proposed idea has been verified by designing a questionnaire, representing it to some (about 50 people) experts and then, analyzing and evaluating its acquired results.
Co-operative Wireless Intrusion Detection System Using MIBs From SNMPIJNSA Journal
In emerging technology of Internet, security issues are becoming more challenging. In case of wired LAN it is somewhat in control, but in case of wireless networks due to exponential growth in attacks, it has made difficult to detect such security loopholes. Wireless network security is being addressed using firewalls, encryption techniques and wired IDS (Intrusion Detection System) methods. But the approaches which were used in wired network were not successful in producing effective results for wireless networks. It is so because of features of wireless network such as open medium, dynamic changing topology, cooperative algorithms, lack of centralized monitoring and management point, and lack of a clear line of defense etc. So, there is need for new approach which will efficiently detect intrusion in wireless network. Efficiency can be achieved by implementing distributive, co-operative based, multi-agent IDS. The proposed system supports all these three features. It includes mobile agents for intrusion detection which uses SNMP (Simple network Management Protocol) and MIB (Management Information Base) variables for mobile wireless networks.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document proposes a hybrid intrusion detection system (HIDS) for wireless sensor networks. The HIDS combines cluster-based and rule-based intrusion detection techniques. It is designed to address the limited resources of sensor networks while achieving high detection rates and low false positives. The system works by using cluster heads to detect intrusions based on both anomaly detection and comparing activities to known attack behaviors. A simulation evaluated the HIDS and found it performed intrusion detection efficiently while being energy efficient and having a high detection rate.
A SURVEY ON SECURITY IN WIRELESS SENSOR NETWORKSIJNSA Journal
The emergence of wireless sensor networks (WSNs) can be considered one of the most important
revolutions in the field of information and communications technology (ICT). Recently, there has been a
dramatic increase in the use of WSN applications such as surveillance systems, battleground applications,
object tracking, habitat monitoring, forest fire detection and patient monitoring. Due to limitations of
sensor nodes in terms of energy, storage and computational ability, many security issues have arisen in
such applications. As a result, many solutions and approaches have been proposed for different attacks and
vulnerabilities to achieve security requirements. This paper surveys different security approaches for
WSNs, examining various types of attacks and corresponding techniques for tackling these. The strengths
and weaknesses for each technique are also discussed at the conclusion of this paper.
A SURVEY ON SECURITY IN WIRELESS SENSOR NETWORKSIJNSA Journal
The emergence of wireless sensor networks (WSNs) can be considered one of the most important
revolutions in the field of information and communications technology (ICT). Recently, there has been a
dramatic increase in the use of WSN applications such as surveillance systems, battleground applications,
object tracking, habitat monitoring, forest fire detection and patient monitoring. Due to limitations of
sensor nodes in terms of energy, storage and computational ability, many security issues have arisen in
such applications. As a result, many solutions and approaches have been proposed for different attacks and
vulnerabilities to achieve security requirements. This paper surveys different security approaches for
WSNs, examining various types of attacks and corresponding techniques for tackling these. The strengths
and weaknesses for each technique are also discussed at the conclusion of this paper.
TRUST VALUE ALGORITHM: A SECURE APPROACH AGAINST PACKET DROP ATTACK IN WIRELE...IJNSA Journal
Wireless ad-hoc networks are widely used because these are very easy to deploy. However, there are
various security issues and problems. Two most important issues are interoperability and interaction
among various security technologies which are very important to consider for configuration and
management point of view. The packet drop ratio in the wireless network is very high as well as packets
may be easily delayed by the attacker. Ii is very difficult to detect intruders, so it results into high false
positive rate. Packets may be dropped or delayed by intruders as well as external nodes in wireless
networks. Hence, there is the need of effective intrusion detection system which can detect maximum
number of intruders and the corresponding packets be forwarded through some alternate paths in the
network. In this paper we propose an alternate solution to detect the intruders/adversary with help of trust
value. It would remove the need of inbuilt IDS in the wireless networks and result into improving the
performance of WLAN.
TRUST VALUE ALGORITHM: A SECURE APPROACH AGAINST PACKET DROP ATTACK IN WIRELE...IJNSA Journal
Wireless ad-hoc networks are widely used because these are very easy to deploy. However, there are various security issues and problems. Two most important issues are interoperability and interaction among various security technologies which are very important to consider for configuration and management point of view. The packet drop ratio in the wireless network is very high as well as packets may be easily delayed by the attacker. Ii is very difficult to detect intruders, so it results into high false positive rate. Packets may be dropped or delayed by intruders as well as external nodes in wireless networks. Hence, there is the need of effective intrusion detection system which can detect maximum number of intruders and the corresponding packets be forwarded through some alternate paths in the network. In this paper we propose an alternate solution to detect the intruders/adversary with help of trust value. It would remove the need of inbuilt IDS in the wireless networks and result into improving the performance of WLAN
A Modular Approach To Intrusion Detection in Homogenous Wireless NetworkIOSR Journals
This document discusses a modular approach to intrusion detection in homogeneous wireless networks. It begins by introducing wireless networks and the need for intrusion detection systems (IDS) due to security vulnerabilities. It then discusses different types of IDS, including signature-based detection that identifies known attacks, and anomaly-based detection that identifies deviations from normal behavior but can result in high false positives. The document proposes a modular approach combining advantages of signature-based and anomaly-based detection for high detection rates and low false positives. Requirements for IDS in wireless networks are also outlined.
Three level intrusion detection system based on conditional generative advers...IJECEIAES
Security threat protection is important in the internet of things (IoT) applications since both the connected device and the captured data can be hacked or hijacked or both at the same time. To tackle the above-mentioned problem, we proposed three-level intrusion detection system conditional generative adversarial network (3LIDS-CGAN) model which includes four phases such as first-level intrusion detection system (IDS), second-level IDS, third-level IDS, and attack type classification. In first-level IDS, features of the incoming packets are extracted by the firewall. Based on the extracted features the packets are classified into three classes such as normal, malicious, and suspicious using support vector machine and golden eagle optimization. Suspicious packets are forwarded to the second-level IDS which classified the suspicious packets as normal or malicious. Here, signature-based intrusions are detected using attack history information, and anomaly-based intrusions are detected using event-based semantic mapping. In third-level IDS, adversary packets are detected using CGAN which automatically learns the adversarial environment and detects adversary packets accurately. Finally, proximal policy optimization is proposed to detect the attack type. Experiments are conducted using the NS-3.26 network simulator and performance is evaluated by various performance metrics which results that the proposed 3LIDS-CGAN model outperforming other existing works.
A SERVEY ON WIRELESS SENSOR NETWORK SECURITY ISSUES & CHALLENGESEditor IJCTER
A Wireless Sensor Network (WSN) is an evolving technology and getting significant attention due to its unlimited potential starts from domestic application to battlefield. Wireless
Sensor Networks(WSN) are a most challenging and emerging technology for the research due to
their vital scope in the field coupled with their low processing power and associated low energy.
Today wireless sensor networks are broadly used in environmental control, surveillance tasks,
monitoring, tracking and controlling etc. Sensor nodes are tiny, cheap, disposable and self-contained
battery powered computers, known as "motes”, which can accept input from an attached sensor,
process this input data and transmit the results wirelessly to the transit network. Due to the various
applications of WSN in homeland security and military, security is the major issue to be taken care
of. In this paper we discuss about The combination of these factors demands security for sensor
networks at design time to ensure operation safety, secrecy of sensitive data, and privacy for people
in sensor environments. Broadcast authentication is a critical security service in sensor networks; it
allows a sender to broadcast messages to multiple nodes in an authenticated way. µ TESLA and multi-level µTESLA have been proposed to provide such service for sensor networks.
Protocols for Wireless Sensor Networks and Its SecurityIJERA Editor
This paper proposes a protocol for Wireless Sensor Networks and its security which are characterized by severely constrained computational and energy resources, and an ad hoc operational environment. The paper first introduces sensor networks, and discusses security issues and goals along with security problems, threats, and risks in sensor networks. It describes crippling attacks against all of them and suggests countermeasures and design considerations. It gives a brief introduction of proposed security protocol SPINS whose building blocks are SNEP and μTESLA which overcome all the important security threats and problems and achieves security goals like data confidentiality, freshness, authentication in order to provide a secure Wireless Sensor Network
In recent years, wireless sensor network (WSN) is used in several application areas resembling observance, tracking, and dominant in IoTs. for several applications of WSN, security is a crucial demand. However, security solutions in WSN disagree from ancient networks because of resource limitation and process constraints. This paper analyzes security solutions: TinySec, IEEE 802.15.4, SPINS, MiniSEC, LSec, LLSP, LISA, and LISP in WSN. This paper additionally presents characteristics, security needs, attacks, cryptography algorithms, and operation modes. This paper is taken into account to be helpful for security designers in WSNs.
As the Supervisory Control and Data Acquisition (SCADA) system are deployed in infrastructures which are critical to the survival of a nation, they have emerged as a potential terrain for cyber-war, thus attracting the considered attention of ‘nation-states’. The analysis of worms like ‘stuxnet’ ‘flame’ and ‘duqu’ reveals the hand of a ‘nation-state’ in their design and deployment. Hence, the necessity to understand various issues in the defence of SCADA systems arises. The forensics of the SCADA system provide deep insight into the design and deployment of the worm (the malware) once the system is attacked. This is precisely the scope of this essay.
HYBRID ARCHITECTURE FOR DISTRIBUTED INTRUSION DETECTION SYSTEM IN WIRELESS NE...IJNSA Journal
This document proposes a hybrid architecture for a distributed intrusion detection system using multiple agents. The key aspects of the architecture include:
- Using multiple independent tracker agents that monitor hosts and generate reports sent to monitors and storage.
- Monitors analyze activity and compare to signatures to detect known attacks, or send data to anomaly detectors.
- Anomaly and misuse detectors use classification and pattern matching to detect known and unknown attacks.
- An inference module coordinates entities across hosts to classify new attacks using a knowledge base and signature generator.
- A countermeasure module alerts administrators and can take actions like dropping packets in response to detected attacks.
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A review of security attacks and intrusion detection schemes in wireless sensor network
1. International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 6, December 2013
AREVIEW OF SECURITY ATTACKS
AND INTRUSION DETECTION SCHEMES IN
WIRELESS SENSOR NETWORK
Yassine MALEH1 and Abdellah Ezzati2
Emerging Technologies Laboratory (VETE), Faculty of Sciences and Technology
Hassan 1stUniversity, Settat, MOROCCO
ABSTRACT
Wireless sensor networks are currently the greatest innovation in the field of telecommunications. WSNs
have a wide range of potential applications, including security and surveillance, control, actuation and
maintenance of complex systems and fine-grain monitoring of indoor and outdoor environments. However
security is one of the major aspects of Wireless sensor networks due to the resource limitations of sensor
nodes. Those networks are facing several threats that affect their functioning and their life. In this paper we
present security attacks in wireless sensor networks, and we focus on comparison and analysis of recent
Intrusion Detection schemes in WSNs.
KEYWORDS
Wireless sensor Networks, Security, attack, Denial of Service (DoS), Intrusion Detection Systems (IDS),
IDS Architectures, Cluster-based IDS, Anomaly-based IDS, Signature based IDS&Hybrid IDS
1.
INTRODUCTION
Recent advances in wireless and micro electronic communications have enabled the development
of a new type of wireless network called wireless sensor network (WSN).Wireless sensor
networks are associated with vulnerable characteristics such as open-air transmission and selforganizing without a fixed infrastructure [1]. Consequently security of wireless sensor networks
(WSN) is the most challenge for this type of network [2]. Intrusion Detection Systems (IDSs) can
play an important role in detecting and preventing security attacks. This paper presents a review
of the security attacks in wireless sensor network and analyzed some of the existing IDS models
and architectures. Finally a comparative study and a discussion of IDS models will be presented.
2.
RELATED WORK
Wireless sensor networks are not immune to the risks of destruction and decommissioning. Some
of these risks are identical to those in Ad-Hoc networks, and others are specific to the sensors.
Several articles [6][7][8][9][10] have presented security attacks and issues in WSNs. Intrusion
detection system (IDS) defined as the second line of defense after cryptography, allows the
detection and prevention of internal and external attacks.
In [18, it is presented a Rule-based IDS called also Signature-based. Most of the techniques in
these schemes follow three main phases: data acquisition phase, rule application phase and
DOI : 10.5121/ijwmn.2013.5606
79
2. International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 6, December 2013
intrusion detection phase.In [19], it is proposed two approaches to improve the security of clusters
for sensor networks using IDS. The first approach usesamodel-based on authentication, and the
second scheme is called Energy-Saving.IN [21] a hybrid intrusion detection system (HIDS)
model has been anticipated for wireless sensor networks.This paper does not promote a solution.
Rather, it is a comparative study of existing model of intrusion detection in wireless sensor
networks. Our aim is to provide a better understanding of the current research issues in this field.
3.
SECURITY GOALS IN WSN
We can classify the security goals into two goals:mainand secondary. The main goals include
security objectives that should be available in any system (confidentiality, availability,
integrityandauthentication). The other category includes secondary goals (self-organization,
secure localization, Time synchronization andResilience to attacks) [3] [4].
•
•
•
•
•
•
•
•
Confidentiality (Forbid access to unwanted third parties)
Authentication (Identity verification and validation)
Availability (Service has to be always available)
Integrity (Data is exchanged without malicious alteration)
Self Organization(Every sensor node needs to be independent and flexible enough to be selforganizing and self-healing)
Secure localization (Sensor network often needs location information accurately and
automatically)
Time synchronization (Sensor radio may be turned off periodically in order to conserve
power)
Resilience to attacks (The covenant of a single node must not violate the security of the whole
network).Figure1belowsummarizessecurity goals for wirelesssensor network.
Security Goals
for WSN
main goals
secondary goals
Confidentiality
Availability
Self Organization
secure localization
Integrity
Authentification
Time
synchronization
Resilience to
attacks
Figure1.Security Goals for WSN
80
3. International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 6, December 2013
4.
SECURITY ATTACKS IN WSN
The different characteristics of wireless sensor networks (energy limited, low-power computing,
use of radio waves, etc...) expose them to many securitythreats.We can classify the attacks into
two main categories [5]: Active and Passive. In passive attacks, attackers are typically
camouflaged, i.e. hidden, and tap the communication lines to collect data. In active attacks,
malicious acts are carried out not only against data confidentiality but also data integrity.Several
papers havepresentedthesecurityattacks in WSN [6][7][8][9][10].
Spoofed, altered or replayed routing information
May be used for loop construction, attracting or repelling traffic, extend or shorten source route.
Selectiveforwarding
In this attack, the attacker prevents the transmission of some packets. They will be removed later
by the malicious node.
Worm holeattack:
Thewormholeattackrequiresinsertion
of
atleasttwomaliciousnodes.Thesetwonodesareinterconnectedbyapowerful connection for examplea
wired link. The malicious node receives packets in one section of the network and sends them to
another section of the network.
Figure 2. Worm hole attack
Sybil attack:
A malicious node presents multiple identities to the other nodes in the network. This poses a
significant threat to routing protocols and will cause the saturation of the routing tables of the
nodes with incorrect information.
81
4. International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 6, December 2013
Figure 3. Sybil attack
Black hole attack:
The attackinvolves inserting amaliciousnode in the network. This node, by various means, will
modify
the
routing
tablesto
force
themaximumneighboringnodespassingtheinformationthroughhim.Thenlike
a
black
holeinspace,allthe information that willgoinitwill never beretransmitted.
Figure 4. Black hole attack
Hello Flooding:
Discoveryprotocolson WSNs useHELLOmessagestypesto discover itsneighboring nodes. In an
attacktypeHELLOFlooding,
an
attacker
will
usethismechanismto
saturate
thenetworkandconsumeenergy.
Figure 5. Hello flooding attack
82
5. International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 6, December 2013
Acknowledgementspoofing
In this attack, the attacker tries to convince the sender that the weak link is strong or that a dead
node is alive. Therefore, all packets passing through this link or this node will be lost.
Denial-of-Service Attacks
A denial-of-service (DoS) targets the availability and capacity reduction of network services.
Physical constraints of the sensor networks and the nature of their deployment environment, make
them vulnerable to DoS attacks more than any other type of network. In this section we will
review important DoS scenarios for each layer of the WSN. In [11] Wang et al. (2006) have
classified the DoS attacks that could target each layer of the WSN.
Layer
Attacks
Defense
Physical
Jamming
Spread-spectrum, priority messages,
lower duty cycle, region mapping,
mode change
Collision
Error-correction code
Exhaustion
Rate limitation
Unfairness
Small frames
Spoofed routing
information, andselective
forwarding
Egressfiltering,
authentication, monitoring
Sinkhole
Redundancychecking
Sybil
Authentication,
monitoring, redundancy
Wormhole
Authentication, probing
Hello Flood
Authentication
Session Hijacking.
aggregationdata
SYN flooding
Package authentication
Data Corruption.
Repudiation
Authentification
Link
Network
Transport
Application
Table 1. Various DOS attacks on WSNs and their countermeasures
83
6. International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 6, December 2013
5.
COUNTERMEASURES
To counter the attacks threatened networks wireless sensors, several research teams are trying to
find appropriate solutions. These solutions must take into account the specificities of wireless
sensor networks. We need to find simple solutions to secure the network while consuming the
least possible energy and adapt these solutions to a low power computing. In the range of these
solutions include mechanisms such as data partitioning, the use of appropriate cryptographic
methods, intruder detection by location or even the confidence index. Wood and Stankovic [12]
studied DoS attacks and possible defense. In [13][14]a suite of optimized security protocols for
wireless sensor network is presented. SPIN (Security Protocol for Information via Negotiation)
has two security mechanisms: SNEP and TESLA. SNEP provides data confidentiality and data
authentication. TESLA provides source authentication in multicast scenarios by using MAC
chaining. It is based on loose time synchronization between the sender and the receivers.
INSENS (Intrusion Tolerant routing for wireless sensor networks) this protocol allows the base
station to draw an accurate map of the network that will establish the routing tables for each node
[15]. Du,et al. [16] propose LEAP+ (Localized Encryption and Authentication Protocol), a key
management protocol for sensor networks.
6.
INTRUSION DETECTIONSYSTEMSINWSN
Afterthe concept ofintrusiondetection(ID), which was established in 1980,two major variants of
intrusion detection systems (IDS) have emerged, Host intrusion detection systems (HIDS) and
network intrusion detection systems (NIDS) [17]. Intrusion detection is an approach that is
complementary with respect to mainstream of security mechanisms such as cryptography and
access control [18]. Intrusion detectioncan be defined as Intrusion detectioncan be defined
astheautomatic detection andalarmgenerationtoreportthatan intrusion hasoccurredoris in progress.
Inthis section we describethe architecture ofIDSinWSNs. IDS cannot takepreventive action, since
they arepassivein nature, they can only detect intrusion and generate an alarm. The following
figure presents the four main components of IDS [19].
Monitoring
component
Detection
Analysis
Alarm
Figure 6.IDS components
There are two distinct technologies of IDS:
Network Intrusion Detection System (NIDS). These systems are designed to intercept and
analyze packets circulating in the network. All communication in the wireless network are
84
7. International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 6, December 2013
conducted on the air and a node can hear the traffic passing from a neighboring node
(promiscuous mode) [36]. Therefore, the nodes can mutually check the network traffic. This
].
technology applies this concept, IDS listens for traffic and individually examine each packet.
IDS
Host intrusion detection systems (HIDS). Analysis only data on the node where the IDS is
.
installed. Any decision is based on information collected at this node. These IDSs use two
types of sources to provide information about the activity: the log files (file that records all
s
activity on a system in standby), and audit trails ( Incoming / outgoing packets node , etc
etc).
6.1 The challenging of designing IDS for WSN
enging
The IDS solutions developed for wired networks cannot be applied directly to sensor networks,
view the difference between these two types of networks, this is why it is necessary to introduce
ew
an intrusion detection system that meets the special features of sensor networks[20 The design
networks 20].
of this kind of system for wireless sensor network must satisfy the following properties
properties:
Lack of
infrastructure
Dynamic
Topology
change
Minimize
resources
Challenging
Different routing
protocols
Easy physical
accessibility
Figure 7. Challenging of designing IDS for WSN
6.2 The requirements of designing IDS for WSN
In wireless sensor networks, the IDS must satisfy the following properties [21]:
• Localize auditing: IDS forwirelesssensor networks mustworkwithlocaldataandpartialaudits,
because
in
WSN
there
arenocentralizedpoints(apart
from
thestationbase)
thatcancollectglobaldataauditing.
thatcancollectglobaldataauditing
• Minimize resources: IDS must use a minimum number of resources for
networks.Communicationbetweennodesforintrusiondetectionshouldnotsaturatetheavailable
Communicationbetweennodesforintrusiondetectionshouldnotsaturatetheavailable
bandwidth.
• Trust no node: Unlikewired networks, nodes sensors canbecompromisedeasily, IDS must
networks
nottrustanynode.
• Bedistributed: means that thecollectionand analysis ofdata should beinseveral l
locations.
Moreoverthedistributedapproachalsoappliestotheexecution
of
the
algorithmofdetectionandalert correlation.
correlation
• Besecure: IDSmust be able towithstand attacks.
attacks
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Figure 8 below summarizes requirements of designing IDS for WSN.
Figure 8.Requirements of designing IDS for WSN
6.3 Architectures for IDS in Wireless Sensor Network
The nature of wireless sensor networks makes them very vulnerable to attack.The Mobile nodes
are randomly distributed, there are no physical obstacles for the adversary, therefore, they can be
easily captured, and attacks can come from all directions and target any node. To tackle these
additional challenges, several possible IDS architectures exist including standalone IDS,
distributed and cooperative IDS and hierarchical IDS [22].
6.3.1 Standalone IDS
In this category, each node operatesas independent IDSandisresponsibleforthe detection
ofattacksagainsthim.Therefore, theIDSdo not cooperateanddo not shareinformation with each
other.This architecturerequires that eachnodeiscapable of executing and running IDS.
6.3.2 Distributed and Cooperative IDS
In this architecture (Zhang et al., 2003), each node has an IDS agent and makes local detection
decisions by itself, all the nodes cooperate to create a global detection process. The distributed
and cooperative IDS architecture is more suitable for a flat network configuration than a clusterbased multilayered one.
6.3.3 Hierarchical IDS
In this category the network is divided into clusters with cluster-heads. In each cluster, a leader
plays the role of cluster-head. This node is responsible for routing in the group and must accept
messages from members of the cluster indicating something malicious. Similarly, the cluster-head
must detect attacks against other cluster-heads in the network. At the same time all cluster-heads
can cooperate with central base station to form global IDS.
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6.4 Some open research in IDS
Cross-Layer IDS: Using a cross layer IDS, we could not only pass information between layers
but also coordinate mechanisms to prevent threats at all layers.
Dynamic IDS: The IDS that would protect mobile nodes, as in VANET networks.
Internet of Things IDS: There should be mechanisms that could manage all the objects of our
everyday life that have an IP address and be connected to the Internet.
7.
INTRUSION DETECTION MODELS FOR WSN
Due toarchitecturaldifferencebetweenwiredandwireless networks, their IDSs cannot be used
interchangeably. There are specific techniques for WSN [23]. In this section, we analyze and
discus some proposed IDSs for WSN.
7.1 Rule-based IDS
Rule-based IDS called also Signature-based IDS, articulates on a database of stored prior rules of
security attacks [24]. Most of the techniques in these schemes follow three main phases: data
acquisition phase, rule application phase and intrusion detection phase (Silva et al., 2005)
[25].The algorithmincludesthreestepsfor detecting intrusions. In the first step monitor nodes
monitors the data. In the second step detection ruleswillberankedin order of severity, to the
collected information to flag failure. The third step is the intrusion detection phase, where the
number of failure flagged is compared to the expected number of the occasional failures in the
network.
Figure 9.Steps for detecting intrusion in rule based IDS
7.2 Cluster-Based IDS
Su, et al. [26] hasproposed two approaches to improve the security of clusters for sensor networks
using IDS. The first approach usesamodel-based on authentication, which can
resisttoexternalattacks. Its basic technique is to add a message authentication code (MAC) for
each message. Whenever a node wants to send a message, it adds to it a timestamp and a MAC is
generated by a key-pair or individually depending on the key role of the sender (cluster-head,
member -node, or base station). So that the receiver can verify the sender, the security mechanism
is used LEAP. The second scheme is called Energy-Saving. This approach focuses on the
detection of misbehavior both in Member nodes (MN) and cluster-head nodes (CH). When
misbehavior is detected, the CH broadcasts a warning message encrypted with the cluster key to
restrain this specific node.
7.3 Hybrid IDS
In the Hybrid Approach, both techniques (Cluster-Based and Rule-Based) arecombinedto form
Hybrid detection technique.Hybrid detection exploitsthe advantages of bothapproachesprovides
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simplicity, high safety, low consumption of energy [27] [28].The Hybrid Intrusion Detection
System achieves the goals of high detection rate and low false positive rate.
8.
ANALYSES AND DISCUSSION
Comparing analysis, for the advantages and drawbacks of different models:
Rule-Based : The rule based model is simple, clear levels, anddesigned for a large-sized WSNs.
Signature-based IDS need more resource than anomaly-based IDS, and regular updatingofthe
database with new attack signatures.
Cluster-based: The cluster-based model requires Low Energy Consumption, provideshigh level of
security. Because of Centralized routing data delivery is guaranteed. In cluster-based IDS
Message retransmission frequency is high, and the centralized routing may not always use best
available path for routing.
Hybrid model: Hybrid model are designed
Thismodelusestwomechanisms,
anomaly-based
requireshighconsumption of energy.
for large and sustainable WSN.
and
signature-based,
so
it
Table 2 gives the comparison and characteristics of different IDSs.
IDS
Model
Network
architecture
Handled
attacks
Energy
Anomaly
Based
Anomaly
based IDS
Detection
technique
Masquera
de,
routing
attacks,
Sinkhole
and
blackhole
Black
hole,
selective
forwardin
g,
Sink
hole,
DOS
Rulebased IDS
Distributed
Signatur
e
based
Clusterbased IDS
Hierarchical
Hybrid
IDS
Hierarchical
Anomaly
based
Selective
forwardin
g,
sinkhole,
Hello
flood and
wormhole
attacks
Drawbacks
Low
Capable of
detecting
new attacks
Misses
wellknown
attack
Low
Detects all
those
attacks
having
signatures
Cannotdetect
new
attacks
Low
Anomaly
Based
Advantages
Low
Energy
Consumpti
on
Message
retransmissio
n frequency is
high,
Increased
Traffic
consumption
Medium
Data
del
ivery
is
guaranteed
Can detect
both
existing
and
new
attacks
Requires
more
computation
and
resources
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Intrusion
detection
in Routing
Attacks
9.
Distributed
Anomaly
based
DoS,
Sinkhole
and
wormhole
attacks
High
Consider
resource
Parameters
(energy
and
reliability)
High resource
Requirement,
Increased
Traffic
CONCLUSION
This article shows how well a security sensor networks is a challenge for researchers and
developers of information technology.Our goal was to present the existing security attacks in
WSN, focusing on intrusion detection systems (IDS), and examine existing approaches of
intrusion detection in WSN.Our goal was to present the existing security mechanisms for WSN,
specifically focusing on intrusion detection systems (IDS), and consider existing approaches to
provide a fairly comprehensive and effective model. We are now working on our own model that
incorporates all the advantages of the approaches proposed for a global model of intrusion
detection in WSN.
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Authors
YassineMALEHreceived the B.Sc. degree in networks and Information Systems, from
Hassan 1st University, Faculty of Sciences and Technology of Settat, Morocco, in
2009,and M.Sc. degree in Network and Computer engineering from the Hassan 1st
University, Faculty of Sciences and Techniques (FSTS), Settat, Morocco, in 2012.
Currently pursuing his PhD in Networks and Security Engineeringat the Laboratory of
Emerging Technologies (VETE), from Hassan 1st University, Faculty of Sciences and Technology of Settat,
Morocco.Hismain research areas arehow to use wireless sensor networks to secure and monitor mobile
laboratories networks.
Abdellah EZZATIresearch Scientist in Faculty of Science and Technology in Morocco.
He obtained his PHD in 1997 in Faculty of science in Rabat and member of the
Computer commission in the same Faculty. Now is an associate professor in Hassan First
University in Morocco and he is the Head of Bachelor of Computer Science.He
participate to several project as the project Palmes which elaborate a Moroccan
Education Certification.
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