This document proposes a novel privacy enhancing routing algorithm called Optimal Privacy Enhancing Routing Algorithm (OPERA) for wireless networks. OPERA uses a statistical game-theoretic framework to optimize routing privacy given a utility function. It considers a global adversary that can observe transmissions across the entire network. OPERA formulates the privacy-utility tradeoff problem as a linear program that can be efficiently solved. Simulation results show that OPERA reduces the adversary's identification likelihood by up to half compared to random and greedy heuristics, and up to five times compared to a pattern matching scheme. OPERA also outperforms traditional information-theoretic approaches.
Secure data aggregation technique for wireless sensor networks in the presenc...
This document discusses secure data aggregation techniques for wireless sensor networks in the presence of collusion attacks. It describes how existing iterative filtering algorithms used for data aggregation and trust assessment in sensor networks are vulnerable to sophisticated collusion attacks. The proposed solution improves iterative filtering techniques by providing an initial trust estimate based on robust estimation of individual sensor errors. This makes the algorithms robust against collusion attacks while also making them more accurate and faster converging.
IRJET- An Efficient Dissemination and Dynamic Risk Management in Wireless Sen...
This document proposes a risk assessment framework for wireless sensor networks (WSNs) deployed in a sensor cloud. The framework utilizes a distributed approach to code dissemination, allowing multiple authorized users to directly update sensor node code images without a base station. A secure and efficient proxy signature technique is used to satisfy requirements like integrity, freshness, resistance to denial-of-service attacks, and support for different user privileges. Seven potential attacks on the system are identified and analyzed to assess their impact level. The framework generates a PDF report with risk levels in different regions and solutions to overcome identified risks.
IRJET- A Survey on DDOS Attack in ManetIRJET Journal
This document summarizes a survey on distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It begins by introducing MANETs and some of the key security issues they face, including DDoS attacks. It then discusses different types of DDoS attacks like flooding and amplification/reflection attacks. The document proposes a new defense scheme against amplification attacks, which exploit protocols like DNS and NTP to amplify traffic. It describes using the Network Security Simulator to model and simulate DDoS attacks with master, zombie, and server entities to evaluate defense techniques and compare the impact of protocols like DNS and NTP.
IRJET- Secure Data Transmission from Malicious Attacks: A ReviewIRJET Journal
This document summarizes various techniques that have been proposed for secure data transmission in mobile ad hoc networks in the face of security attacks. It discusses works that use techniques like self-protocol trustiness and the Dempster-Shafer theory to detect blackhole attacks. A dynamic forwarding window technique is described for detecting denial of service attacks in wireless sensor networks. The document also reviews improved CONFIDANT and other techniques for detecting grayhole, sinkhole, and jellyfish attacks on AODV routing. Cryptographic techniques including elliptic curve cryptography have also been proposed and evaluated for secure transmission and misbehavior detection in MANETs.
Evasion Streamline Intruders Using Graph Based Attacker model Analysis and Co...Editor IJCATR
Network Intrusion detection and Countermeasure Election in virtual network systems (NICE) are used to establish a
defense-in-depth intrusion detection framework. For better attack detection, NICE incorporates attack graph analytical procedures into
the intrusion detection processes. We must note that the design of NICE does not intend to improve any of the existing intrusion
detection algorithms; indeed, NICE employs a reconfigurable virtual networking approach to detect and counter the attempts to
compromise VMs, thus preventing zombie VMs. NICE includes two main phases: deploy a lightweight mirroring-based network
intrusion detection agent (NICE-A) on each cloud server to capture and analyze cloud traffic. A NICE-A periodically scans the virtual
system vulnerabilities within a cloud server to establish Scenario Attack Graph (SAGs), and then based on the severity of identified
vulnerability toward the collaborative attack goals, NICE will decide whether or not to put a VM in network inspection state. Once a
VM enters inspection state, Deep Packet Inspection (DPI) is applied, and/or virtual network reconfigurations can be deployed to the
inspecting VM to make the potential attack behaviors prominent.
Secure data aggregation technique for wireless sensor networks in the presenc...LogicMindtech Nologies
This document discusses secure data aggregation techniques for wireless sensor networks in the presence of collusion attacks. It describes how existing iterative filtering algorithms used for data aggregation and trust assessment in sensor networks are vulnerable to sophisticated collusion attacks. The proposed solution improves iterative filtering techniques by providing an initial trust estimate based on robust estimation of individual sensor errors. This makes the algorithms robust against collusion attacks while also making them more accurate and faster converging.
IRJET- An Efficient Dissemination and Dynamic Risk Management in Wireless Sen...IRJET Journal
This document proposes a risk assessment framework for wireless sensor networks (WSNs) deployed in a sensor cloud. The framework utilizes a distributed approach to code dissemination, allowing multiple authorized users to directly update sensor node code images without a base station. A secure and efficient proxy signature technique is used to satisfy requirements like integrity, freshness, resistance to denial-of-service attacks, and support for different user privileges. Seven potential attacks on the system are identified and analyzed to assess their impact level. The framework generates a PDF report with risk levels in different regions and solutions to overcome identified risks.
Environment based secure transfer of data in wireless sensor networksijsptm
Most critical sensor readings (Top-k Monitoring) in environment monitoring system are important to many
wireless sensor applications. In such applications, sensor nodes transmit the data continuously for a specific time period to the storage nodes. It is responsible for transferring the received results to the Authority on Top-k Query request from them. Dummy data's were added into the original text data to secure the data against adversary in case of hacking the sensor and storage nodes. If storage node gets hacked by adversary, false details will be sent to the authority. An effective technique named aggregate signature to validate the source of the message and also to protect the data against latest security attacks,
cryptography technique combined with steganography has been introduced. Indexed based scheme for the database access has also been proposed, to validate the resources against availability before forwarding the data fetch request to storage nodes from Authority.
Evaluation of network intrusion detection using markov chainIJCI JOURNAL
Day today life internet threat has been increased significantly. There is a need to develop model in order to
maintain security of system. The most effective techniques are Intrusion Detection System (IDS).The
purpose of intrusion system through the security devices detect and deal with it. In this paper, a
mathematical approach is used effectively to predict and detect intrusion in the network. Here we discuss
about two algorithms ‘K-Means + Apriori’, a method which classify normal and abnormal activities in
computer network. In K-Means process, it partitions the training set into K-clusters using Euclidean
distance and introduce an outlier factor, then it build Apriori Algorithm to prune the data by removing
infrequent data in the database. Based on defined state the degree of incoming data is evaluated through
the experiment using sample DARPA2000 dataset, and achieves high detection performance in level of
attack in stages.
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.
Securing Data retrieval using CPABE scheme with Two Party Computation in DTN ...IRJET Journal
The document proposes a secure data retrieval scheme for disruption tolerant military networks using ciphertext-policy attribute-based encryption (CP-ABE) combined with a two-party computation protocol. Key challenges in decentralized disruption tolerant networks include attribute revocation, key escrow issues due to a single trusted authority, and coordination of attributes from multiple authorities. The proposed scheme addresses these by having multiple independent key authorities handle attributes and issue user keys using a two-party computation protocol, preventing any single authority from accessing encrypted data or combining attribute keys. This allows for secure and efficient access control and retrieval of confidential data distributed across disruption tolerant networks.
Cryptographic Countermeasure Against Prevention Of Dos and Distributed DOS A...IRJET Journal
The document discusses cryptographic puzzles as a countermeasure against denial of service (DoS) and distributed denial of service (DDoS) attacks. It proposes a system called a software puzzle that generates puzzles for clients to solve in order to access server resources. When under attack, the server would generate and send puzzles to clients, and only grant access to clients that correctly solve the puzzles, thereby preventing attackers from overwhelming the server. However, existing puzzle schemes are not effective against attacks that use GPUs to rapidly solve puzzles in parallel. The document proposes improvements to puzzle generation and verification that aim to make the puzzles more difficult to solve by attackers using GPUs or multiple computers.
IRJET - Detection of False Data Injection Attacks using K-Means Clusterin...IRJET Journal
This document discusses detecting false data injection attacks in networks using k-means clustering. It proposes a system that uses a camera to detect inside attacks on a sub-network. When an outside person pauses the camera for a certain period of time, the server will detect this as an inside attack and inform the administrator. The system aims to improve network security by identifying these inside attacks using k-means clustering algorithm to classify sensor measurements and detect false data injected by attackers.
Efficient ddos attacks security scheme using asvseSAT Journals
Abstract A distributed Denial of Service (DDoS) attack enables higher threats to the internet. There are so many scheme designed to identify the node which is to be attacker node. The real process is such as we want to trace the source of the attacker and enable security to our network. The protocol introduced here, called Adaptive Selective Verification with Stub (ASVS) is shown to use bandwidth efficiently and uses stub creation. The Stub procedure to reduce the server load at the time of emergency and congestion. Using this stub idea we can store the ASVS protocol procedure in the server and we can have the stub in the every client so that we can detect the hacker system by the client itself. We use omniscient protocol which enables to send information about the attacker to all the clients. Keywordss: Adaptive Selective Verification With Stub (ASVS), Distributive Denial Of Service Attacks (DDoS) Flooding, Performance Analysis.
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.
SURVEY ON LINK LAYER ATTACKS IN COGNITIVE RADIO NETWORKSijcseit
Cognitive Radio Network (CRNs) is a novel technology for improving the future bandwidth utilization.
CRNs have many security threats due its opportunistic exploitation of the bandwidth. Each layer of the
CRNs consisting of several attacks starting from the physical layer and moving up to the transport layer.
This paper concentrates on the Link layer attacks. The future work uses Signature based Authentication
Coded Intrusion Detection Scheme to detect the Byzantine attack. It works in asynchronous system like
Internet and incorporates optimization to improve detection response time.
Preemptive modelling towards classifying vulnerability of DDoS attack in SDN ...IJECEIAES
Software-Defined Networking (SDN) has become an essential networking concept towards escalating the networking capabilities that are highly demanded future internet system, which is immensely distributed in nature. Owing to the novel concept in the field of network, it is still shrouded with security problems. It is also found that the Distributed Denial-of-Service (DDoS) attack is one of the prominent problems in the SDN environment. After reviewing existing research solutions towards resisting DDoS attack in SDN, it is found that still there are many open-end issues. Therefore, these issues are identified and are addressed in this paper in the form of a preemptive model of security. Different from existing approaches, this model is capable of identifying any malicious activity that leads to a DDoS attack by performing a correct classification of attack strategy using a machine learning approach. The paper also discusses the applicability of best classifiers using machine learning that is effective against DDoS attack.
A System for Denial of Service Attack Detection Based On Multivariate Corelat...IJCERT
1. The document describes a system for detecting denial of service (DoS) attacks based on multivariate correlation analysis. It uses triangle area maps to obtain correlation information between IP addresses in network traffic.
2. The system first extracts features from network traffic samples, then performs multivariate correlation analysis to characterize legitimate traffic patterns. It generates normal profiles based on these patterns to identify anomalies indicative of attacks.
3. The system was tested on the KDD Cup 99 dataset and was able to detect DoS attacks with 94.2% accuracy, outperforming other state-of-the-art techniques. It can identify both known and unknown attack patterns.
This document discusses advances in information technology that have enabled the rapid scaling of data center systems. It presents a multiple path routing configuration protocol and analyzes its performance in terms of flexibility, backup path lengths, and load distribution after a failure. It also shows how estimating traffic demands in the network can be used to improve the distribution of recovered traffic and thus reduce the risk of congestion when multiple path routing is used. The proposed system aims to design a new strategy for privacy preservation in software defined networks that has lower computational time and is more secure without disclosing any private data.
Authentication and Authorization for User Roles and Device for Attack Detecti...IRJET Journal
This document summarizes a research paper that proposes methods for user authentication and authorization to protect relational databases from insider and outsider attacks. It discusses using digital signatures, user roles, and access policies to control what resources different users can access. The proposed methods aim to detect anomalies in database access, such as SQL injection attacks, based on profiling typical application queries and constraints. A user-to-user relationship graph is also used to help with online access control. The document outlines related work on smart grid security and presents the proposed framework and modules before discussing expected experimental results.
IRJET - A Secure Approach for Intruder Detection using BacktrackingIRJET Journal
This document summarizes a research paper that proposes a secure approach for intruder detection using backtracking. The approach detects intruders by analyzing network traffic and matching it to known attack patterns. If an abnormal behavior or attack is identified, an alert is sent to the administrator. When messages are sent between nodes, the receiver uses backtracking to check the transaction history and identify any differences in node keys that could indicate an intruder. This helps track down the intruder by analyzing previous transactions in the network.
IRJET- An Efficient Dissemination and Dynamic Risk Management in Wireless...IRJET Journal
This document proposes a risk assessment framework for wireless sensor networks (WSNs) deployed in a sensor cloud. The framework utilizes a distributed approach to code dissemination, allowing multiple authorized users to directly update sensor node code images without a base station. A secure and efficient proxy signature technique is used to satisfy requirements like integrity, freshness, resistance to denial-of-service attacks, and support for different user privileges. Seven potential attacks on the system are identified and analyzed to assess their impact level. The framework generates a PDF report with risk levels in different regions and solutions to overcome identified risks.
Region Based Time Varying Addressing Scheme For Improved Mitigating Various N...theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
IRJET- 3 Juncture based Issuer Driven Pull Out System using Distributed ServersIRJET Journal
This document discusses network security visualization and proposes a classification system for network security visualization systems. It begins by introducing the importance of visualizing network security data due to the large quantities of data produced. It then reviews existing network security visualization systems and outlines key aspects they monitor like host/server monitoring, port activity, and intrusion detection. The document proposes a taxonomy to classify network security visualization systems based on their data sources and techniques. It concludes by stating papers were selected for review based on their relevance to network security, novelty of techniques, and inclusion of evaluations.
IRJET- An Efficient Data Sharing Scheme in Mobile Cloud Computing using Attri...IRJET Journal
This document proposes an efficient data sharing scheme for mobile cloud computing using attribute-based encryption. It discusses challenges with securely storing data in the cloud, including ensuring data confidentiality and integrity. Existing techniques like fully homomorphic encryption and attribute-based encryption are reviewed, but have limitations for resource-constrained mobile devices. The proposed scheme aims to provide security while reducing computational overhead, through using proxy servers to handle intensive operations and a lazy re-encryption approach for user revocation. It also discusses using provable data possession techniques to verify the integrity of outsourced data.
This document discusses enhancing security through token generation in a distributed environment. It proposes a new token generation scheme to encrypt user data with specified key parameters, making resources more robust. The token generation scheme would add security for both authentication and authorization. Existing algorithms focus on encrypting data on the user side, which incurs high computational and communication costs. The document suggests a token generation algorithm for distributed data files that provides secure and dependable server storage while maintaining low overhead. It analyzes related work on token-based authentication and security techniques to provide context.
This document summarizes a research paper on wireless network intrinsic secrecy. The paper proposes a framework to model wireless networks with inherent secrecy given by physical properties like node spatial distribution, wireless propagation medium, and total network interference. It develops metrics to measure network secrecy and evaluates how properties like path loss, fading and interference can enhance secrecy. The analysis provides insights into exploiting inherent properties of wireless networks to improve security and privacy of communications. Evaluation results show that interference can significantly benefit network secrecy and a deeper understanding of how natural network properties can be used to enhance secrecy.
IRJET-Implementation of Threshold based Cryptographic Technique over Cloud Co...IRJET Journal
This document discusses implementing a threshold-based cryptographic technique for data and key storage security over cloud computing. It proposes a system that encrypts data stored on the cloud to prevent unauthorized access and data attacks by the cloud service provider. The system uses a threshold-based cryptographic approach that distributes encryption keys among multiple users, requiring a threshold number of keys to decrypt the data. This prevents collusion attacks and ensures data remains secure even if some user keys are compromised. The implementation results show the system can effectively secure data on the cloud and protect legitimate users from cheating or attacks from the cloud service provider or other users.
The document provides a report on proposing a decentralized information accountability framework to track how user data is used in the cloud. It analyzes existing cloud service models and outlines the objectives, scope, system analysis, design and feasibility of the proposed framework. The system analysis section describes challenges with current single-server systems and outlines modules for data integrity, security, and distributed storage across multiple servers. A feasibility study examines the technical, social, and economic viability of the project. The system design section provides diagrams to model the data flow, entity relationships, system workflows and use cases of the proposed accountability framework.
Enhanced security for non English users of Wireless Sensor NetworksEswar Publications
Wireless Sensor Networks is an infrastructure less, self-configured, reprogrammable, energy-aware network used
in various applications. Many networks works on security of data including mainly ASCII values but not the non English end users. BDNA cryptography describes how to encrypt non English patterns but which leads to propagation of more bits transmitted means indirectly consumes more energy in WSN. In this we propose new steps to reduce the transmission of more bytes in the network. This gives high propagation speed in the network with minimum hash overhead.
IRJET - Dynamic and Privacy-Preserving Reputation Management for Block Chain-...IRJET Journal
This document proposes a dynamic and privacy-preserving reputation management scheme for blockchain-based mobile crowd sensing (BC-MCS). It aims to overcome security issues with centralized servers in traditional MCS systems. The proposed BC-MCS system utilizes blockchain and edge computing to provide an open and supervised crowd sensing platform. It also presents a practical privacy-preserving reputation management scheme to defend against malicious users while preserving user privacy. Key aspects of the scheme include a two-stage reputation update process using additive secret sharing, and a delegation protocol to handle user dynamics. The prototype system implemented on Hyperledger Sawtooth showed the scheme can achieve higher security and utility than previous centralized reputation management approaches.
IRJET- Insider Interruption Identification and Protection by using Forens...IRJET Journal
This document proposes an Internal Intrusion Detection and Protection System (IIDPS) to detect insider attacks at the system call level using data mining and forensic techniques. The IIDPS creates user profiles by analyzing system calls to track user usage habits over time. When a user logs in, the IIDPS compares their current system usage behaviors to their profile to determine if they are the legitimate account holder or an insider attacker. The IIDPS was able to identify insider attackers with 94.29% accuracy and respond in under 0.45 seconds, showing its ability to effectively prevent insider attacks.
Crypto Mark Scheme for Fast Pollution Detection and Resistance over NetworkingIRJET Journal
The document proposes a new scheme called HOPVOTE to efficiently detect pollution attacks in networks. HOPVOTE is a packet HOP_VOTE technique that attaches an encrypted key to each packet to verify its integrity at each hop. It aims to rapidly identify polluters and misbehaving data/routes. The scheme uses keybit verification and cache-based recovery to identify and block nodes that drop or modify data, and recovers polluted data for retransmission. Simulation results show the scheme can effectively detect pollution attacks with low overhead. Future work will analyze routing performance under common network applications and flows.
A Plagiarism Checker: Analysis of time and space complexityIRJET Journal
This document discusses time complexity and space complexity in the context of a plagiarism checker. It begins by defining time complexity and space complexity, explaining that time complexity refers to how long an algorithm takes to run based on input size, while space complexity refers to how much memory an algorithm uses. It then discusses analyzing the time complexity of a plagiarism checking algorithm using Big O, Omega, and Theta notation. The document presents results of an experiment measuring processing time of different file loads, and uses this to calculate the time complexity under best case (Omega notation) and average case (Theta notation).
DESIGN AND IMPLEMENTATION OF A TRUST-AWARE ROUTING PROTOCOL FOR LARGE WSNSIJNSA Journal
The domain of Wireless Sensor Networks (WSNs) applications is increasing widely over the last few years. As this new type of networking is characterized by severely constrained node resources, limited network resources and the requirement to operate in an ad hoc manner, implementing security functionality to protect against adversary nodes becomes a challenging task. In this paper, we present a trust-aware, location-based routing protocol which protects the WSN against routing attacks, and also supports large-scale WSNs deployments. The proposed solution has been shown to efficiently detect and avoid malicious nodes and has been implemented in state-of-the-art sensor nodes for a real-life test-bed. This work focuses on the assessment of the implementation cost and on the lessons learned through the design, implementation and validation process.
IRJET- Extended Cloud Security for Trust-Based Cloud Service ProvidersIRJET Journal
This paper proposes a framework called SCSP to help customers choose trustworthy and competent cloud service providers. The framework evaluates service providers based on traits, risk estimation, data backup, and recovery capabilities. Traits are determined from customer feedback and reputation scores. Risk is calculated based on the provider's transparency. The framework includes modules for risk estimation, trust estimation, reputation scoring, trait computation, ability estimation, and risk computation. It also proposes algorithms for encryption, backup and recovery. The goal is to help customers select cloud service providers that can ensure secure, high quality service. Experimental results demonstrate the effectiveness of the proposed approach.
Survey of Clustering Based Detection using IDS Technique IRJET Journal
This document discusses intrusion detection systems (IDS) and different techniques used for IDS, including clustering-based detection. It first provides background on IDS, describing their purpose of detecting intruders and protecting systems. It then outlines various IDS types, including mobile agent-based, cluster-based, cryptography-based, and others. The document also summarizes related work from other papers applying data mining techniques like clustering to improve IDS detection rates and reduce false alarms. Finally, it discusses problems with current and traditional IDS, such as threshold detection leading to false positives, and false negatives where attacks are missed.
IRJET - Efficient Public Key Cryptosystem for Scalable Data Sharing in Cloud ...IRJET Journal
This document summarizes and evaluates several existing approaches for securely sharing data stored in the cloud. It discusses key aggregate cryptosystems that allow a user to generate a single aggregate key to decrypt a set of ciphertexts. It also reviews other techniques such as attribute-based encryption with proxy re-encryption, dynamic auditing services using random sampling and fragment structures, the Oruta system using ring signatures for public auditing of shared data, and privacy-preserving public auditing using message authentication codes. The document analyzes the advantages and disadvantages of each approach, such as increased key sizes with attribute-based encryption and the storage overhead of fragment structures.
Similar to IRJET- A Review of the Concept of Smart Grid (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large...YanKing2
Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.
A vernier caliper is a precision instrument used to measure dimensions with high accuracy. It can measure internal and external dimensions, as well as depths.
Here is a detailed description of its parts and how to use it.
An Internet Protocol address (IP address) is a logical numeric address that is assigned to every single computer, printer, switch, router, tablets, smartphones or any other device that is part of a TCP/IP-based network.
Types of IP address-
Dynamic means "constantly changing “ .dynamic IP addresses aren't more powerful, but they can change.
Static means staying the same. Static. Stand. Stable. Yes, static IP addresses don't change.
Most IP addresses assigned today by Internet Service Providers are dynamic IP addresses. It's more cost effective for the ISP and you.
A brief introduction to quadcopter (drone) working. It provides an overview of flight stability, dynamics, general control system block diagram, and the electronic hardware.
In May 2024, globally renowned natural diamond crafting company Shree Ramkrishna Exports Pvt. Ltd. (SRK) became the first company in the world to achieve GNFZ’s final net zero certification for existing buildings, for its two two flagship crafting facilities SRK House and SRK Empire. Initially targeting 2030 to reach net zero, SRK joined forces with the Global Network for Zero (GNFZ) to accelerate its target to 2024 — a trailblazing achievement toward emissions elimination.
Exploring Deep Learning Models for Image Recognition: A Comparative Reviewsipij
Image recognition, which comes under Artificial Intelligence (AI) is a critical aspect of computer vision,
enabling computers or other computing devices to identify and categorize objects within images. Among
numerous fields of life, food processing is an important area, in which image processing plays a vital role,
both for producers and consumers. This study focuses on the binary classification of strawberries, where
images are sorted into one of two categories. We Utilized a dataset of strawberry images for this study; we
aim to determine the effectiveness of different models in identifying whether an image contains
strawberries. This research has practical applications in fields such as agriculture and quality control. We
compared various popular deep learning models, including MobileNetV2, Convolutional Neural Networks
(CNN), and DenseNet121, for binary classification of strawberry images. The accuracy achieved by
MobileNetV2 is 96.7%, CNN is 99.8%, and DenseNet121 is 93.6%. Through rigorous testing and analysis,
our results demonstrate that CNN outperforms the other models in this task. In the future, the deep
learning models can be evaluated on a richer and larger number of images (datasets) for better/improved
results.
Understanding Cybersecurity Breaches: Causes, Consequences, and PreventionBert Blevins
Cybersecurity breaches are a growing threat in today’s interconnected digital landscape, affecting individuals, businesses, and governments alike. These breaches compromise sensitive information and erode trust in online services and systems. Understanding the causes, consequences, and prevention strategies of cybersecurity breaches is crucial to protect against these pervasive risks.
Cybersecurity breaches refer to unauthorized access, manipulation, or destruction of digital information or systems. They can occur through various means such as malware, phishing attacks, insider threats, and vulnerabilities in software or hardware. Once a breach happens, cybercriminals can exploit the compromised data for financial gain, espionage, or sabotage. Causes of breaches include software and hardware vulnerabilities, phishing attacks, insider threats, weak passwords, and a lack of security awareness.
The consequences of cybersecurity breaches are severe. Financial loss is a significant impact, as organizations face theft of funds, legal fees, and repair costs. Breaches also damage reputations, leading to a loss of trust among customers, partners, and stakeholders. Regulatory penalties are another consequence, with hefty fines imposed for non-compliance with data protection regulations. Intellectual property theft undermines innovation and competitiveness, while disruptions of critical services like healthcare and utilities impact public safety and well-being.
Online music portal management system project report.pdfKamal Acharya
The iMMS is a unique application that is synchronizing both user
experience and copyrights while providing services like online music
management, legal downloads, artists’ management. There are several
other applications available in the market that either provides some
specific services or large scale integrated solutions. Our product differs
from the rest in a way that we give more power to the users remaining
within the copyrights circle.
Development of Chatbot Using AI/ML Technologiesmaisnampibarel
The rapid advancements in artificial intelligence and natural language processing have significantly transformed human-computer interactions. This thesis presents the design, development, and evaluation of an intelligent chatbot capable of engaging in natural and meaningful conversations with users. The chatbot leverages state-of-the-art deep learning techniques, including transformer-based architectures, to understand and generate human-like responses.
Key contributions of this research include the implementation of a context- aware conversational model that can maintain coherent dialogue over extended interactions. The chatbot's performance is evaluated through both automated metrics and user studies, demonstrating its effectiveness in various applications such as customer service, mental health support, and educational assistance. Additionally, ethical considerations and potential biases in chatbot responses are examined to ensure the responsible deployment of this technology.
The findings of this thesis highlight the potential of intelligent chatbots to enhance user experience and provide valuable insights for future developments in conversational AI.
Social media management system project report.pdfKamal Acharya
The project "Social Media Platform in Object-Oriented Modeling" aims to design
and model a robust and scalable social media platform using object-oriented
modeling principles. In the age of digital communication, social media platforms
have become indispensable for connecting people, sharing content, and fostering
online communities. However, their complex nature requires meticulous planning
and organization.This project addresses the challenge of creating a feature-rich and
user-friendly social media platform by applying key object-oriented modeling
concepts. It entails the identification and definition of essential objects such as
"User," "Post," "Comment," and "Notification," each encapsulating specific
attributes and behaviors. Relationships between these objects, such as friendships,
content interactions, and notifications, are meticulously established.The project
emphasizes encapsulation to maintain data integrity, inheritance for shared behaviors
among objects, and polymorphism for flexible content handling. Use case diagrams
depict user interactions, while sequence diagrams showcase the flow of interactions
during critical scenarios. Class diagrams provide an overarching view of the system's
architecture, including classes, attributes, and methods .By undertaking this project,
we aim to create a modular, maintainable, and user-centric social media platform that
adheres to best practices in object-oriented modeling. Such a platform will offer users
a seamless and secure online social experience while facilitating future enhancements
and adaptability to changing user needs.