Defending against collaborative attacks by

Defending Against Collaborative Attacks by Malicious
Nodes in MANETs: A Cooperative Bait Detection Approach
ABSTRACT:
In mobile ad hoc networks (MANETs), a primary requirement for the
establishment of communication among nodes is that nodes should cooperate with
each other. In the presence of malevolent nodes, this requirement may lead to
serious security concerns; for instance, such nodes may disrupt the routing process.
In this context, preventing or detecting malicious nodes launching grayhole or
collaborative blackhole attacks is a challenge. This paper attempts to resolve this
issue by designing a dynamic source routing (DSR)-based routing mechanism,
which is referred to as the cooperative bait detection scheme (CBDS), that
integrates the advantages of both proactive and reactive defense architectures. Our
CBDS method implements a reverse tracing technique to help in achieving the
stated goal. Simulation results are provided, showing that in the presence of
malicious-node attacks, the CBDS outperforms the DSR, 2ACK, and best-effort
fault-tolerant routing (BFTR) protocols (chosen as benchmarks) in terms of packet
delivery ratio and routing overhead (chosen as performance metrics).

EXISTING SYSTEM:
DSR involves two main processes: route discovery and route maintenance. To
execute the route discovery phase, the source node broadcasts a Route Request
(RREQ) packet through the network. If an intermediate node has routing
information to the destination in its route cache, it will reply with a RREP to the
source node. When the RREQ is forwarded to a node, the node adds its address
information into the route record in the RREQ packet. When destination receives
the RREQ, it can know each intermediary node’s address among the route.The
destination node relies on the collected routing information among the packets in
order to send a reply RREP message to the source node along with the whole
routing information of the established route.
DISADVANTAGES OF EXISTING SYSTEM:
 The lack of any infrastructure added with the dynamic topology feature of
MANETs make these networks highly vulnerable ble to routing attacks such
as blackhole and grayhole (known as variants of blackhole attacks).
 In this regard, the effectiveness of these approaches becomes weak when
multiple malicious nodes collude together to initiate a collaborative attack,
which may result to more devastating damages to the network.

PROPOSED SYSTEM:
In this paper, a mechanism [so-called cooperative bait detection scheme (CBDS)]
is presented that effectively detects the malicious nodes that attempt to launch
grayhole/collaborative blackhole attacks. In our scheme, the address of an adjacent
node is used as bait destination address to bait malicious nodes to send a reply
RREP message, and malicious nodes are detected using a reverse tracing
technique. Any detected malicious node is kept in a blackhole list so that all other
nodes that participate to the routing of the message are alerted to stop
communicating with any node in that list. Unlike previous works, the merit of
CBDS lies in the fact that it integrates the proactive and reactive defense
architectures to achieve the aforementioned goal.
ADVANTAGES OF PROPOSED SYSTEM:
 In this setting, it is assumed that when a significant drop occurs in the packet
delivery ratio, an alarm is sent by the destination node back to the source
node to trigger the detection mechanism again.
 This function assists in sending the bait address to entice the malicious
nodes and to utilize the reverse tracing program of the CBDS to detect the
exact addresses of malicious nodes.

BLOCK DIAGRAM:
Using DSR
Routing
Send the
RREQ and
RREP
Send the packet
from Source to
Destination
Send the Alert
message
Using Reverse
Technique

MODULES
 Network Topology
 Dynamic Source Routing (DSR)
 Cooperative Bait Detection
 Performance Evaluation
MODULES DESCRIPTION
Network Topology
The sensor nodes are randomly distributed in a sensing field. We are using mobile
ad hoc network (MANET). This is the infrastructureless network and a node can
move independently. In a MANET, each node not only works as a host and also
acts as a router. We can find the communication range for all nodes. Every node
communicates only within the range. If suppose any node out of the range, node
will not communicate those nodes or drop the packets.
Dynamic Source Routing (DSR)
In this project, we are using dynamic source routing algorithm for routing. The
DSR involves two main processes: route discovery and route maintenance. The
source node broadcast the RREQ through the network. If an intermediate node has
the route information to the destination node in its cache, it will reply with a RREP

to the source node. When a RREQ is forwarded, the node adds its address
information in the RREQ packet. When destination receives the RREQ, it can
know all the information about intermediate node. Then the destination will reply
with RREP to the sourcenode along with the routing information.
Cooperative BaitDetectionScheme
We propose a detection scheme called Cooperative bait detection scheme (CBDS),
which aims to detect the grayhole/collaborative blackhole attacks in MANET. In
this scheme, the source node randomly selects the adjacent node is used as a bait
destination address to bait malicious node to send a RREP message. We can find
the malicious node in the routing operation by using the reverse tracing technique.
If there is any malicious node detected in the routing, send the alert message or
stop the communication with any node in that list. The CBDS scheme integrates
the advantages of proactive detection in the initial stage and the reactive defense
architecture to achieve the goal.
Performance Evaluation
In this section, we can evaluate the performance of simulation. We are using the
xgraph for evaluate the performance. We choose the three evaluation metrics:
Packet delivery ratio – it is the ratio of the number of packet received at destination
and number of packet sent by the source, End-to-End delay – the average time

taken for a packet to be transmitted from the source to destination, Throughput –
number of data received by the destination without any losses.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
 System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour.
 Mouse : Logitech.
 Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
 Operating system : Windows XP/7/LINUX.
 Implementation : NS2
 NS2 Version : NS2.2.28
 Front End : OTCL (Object Oriented Tool Command
Language)

 Tool : Cygwin (To simulate in Windows OS)
REFERENCE:
Jian-Ming Chang, Po-Chun Tsou, Isaac Woungang, Han-Chieh Chao, and Chin-
Feng Lai, Member, IEEE, “Defending Against Collaborative Attacks by Malicious
Nodes in MANETs: A Cooperative Bait Detection Approach”, IEEE SYSTEMS
JOURNAL, VOL. 9, NO. 1, MARCH 2015

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