MANET is gaining popularity very rapidly but
due to its ad-hoc nature various problems related to security
is found in the network and resources are limited like
bandwidth, battery power. In MANET any node may join
and leave the network any time so it is difficult to
differentiate between the genuine nodes and malicious nodes.
And if the malicious nodes entered in the network many
security attacks are possible like Black hole attack,
Wormhole attack, flooding attacks etc. The proposed work is
for RREQ flooding generated by node to neighbor nodes or
other nodes in the network which intentionally send RREQ
packets to consume the battery power of the legitimate nodes
in the network. In proposed work a history table is
maintained for each node in the network which contains the
RREQ packets values send and received by nodes to other
nodes in sessions. And in order to mitigate the effect of
misbehaving routers or nodes and increase network
performance a threshold value is calculated to restrict the
flooding of RREQ packets. The proposed work facilitates
networking to detect the malicious node in the network;
moreover prevent the flooding attack and preserve Battery
power of nodes.
Published In : IJCAT Journal Volume 2, Issue 10
Date of Publication : October 2015
Pages : 427 - 435
Figures :12
Tables : 04
Publication Link :Detection of Route Discovery Flooding Attack
through Maintaining History Table in MANET
Rupali Dave : Assistant Professor, Department of Computer Science, RGPV University, SVITS, Indore, India
Rakesh Verma : Assistant Professor, Department of Computer Science, RGPV University, MITM, Indore, India
Ritu Patidar : Assistant Professor, Department of Computer Science, RGPV University, SVITS, Indore, India
Anubha Sharma : Assistant Professor, Department of Computer Science, RGPV University, SVITS, Indore, India
Mobile Ad-hoc Networks
RREQ flooding
By analyzing the results of proposed approach the
conclusions come out that if a RREQ flooding attack
occurs, so the detection of the attack is possible through
maintaining a history table of RREQ packets sent and
received by other nodes in the network. And by
restricting the nodes with discard limit battery is
conserved for long timely communication.
Results section clearly indicates the power conservation
of the nodes under attack conditions, thus proposed
work is implemented successfully and performance is
optimized using the proposed method.
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