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 vulnera 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.
SYSTEM
ARCHITECTURE:
SYSTEM
REQUIREMENTS:
HARDWARE REQUIREMENTS:
Ø
System : Pentium IV 2.4 GHz.
Ø
Hard Disk :
40 GB.
Ø
Floppy Drive : 1.44
Mb.
Ø
Monitor : 15
VGA Colour.
Ø
Mouse :
Logitech.
Ø Ram : 512 Mb.
SOFTWARE
REQUIREMENTS:
Ø Operating system : Windows
XP/7/LINUX.
Ø Implementation : NS2
Ø NS2 Version : NS2.2.28
Ø Front
End : OTCL (Object Oriented
Tool Command Language)
Ø 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.
