International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 05 | May -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1200
QUANTUM BASED ADAPTIVE TOPOLOGY CONTROL FOR INTRUSION
DETECTION AND ISOLATION IN MANET
E.Selvi
1
, M.S. Shashidhara
2
1
Asst. Professor, Department of Computer Science, Asan Memorial College of Arts and Science, Chennai, India.
2
Head of the Department, Department of MCA, The Oxford College of Engineering, Bangalore, India.
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ABSTRACT:A mobile ad hoc network (MANET) is an
infrastructure-less network where the number of mobile
nodes is independently moved in a random direction
within the transmission range of the network. Due to the
movement of mobile nodes, the network topology is
changed arbitrarily. Therefore, various intrusions are
presented in MANET. For accurate and robust intrusion
detection against several attack and deceiving actions,
SIEVE technique was designed in MANET. However, node
mobility of the ad hoc network restricts the BP algorithm
efficiency and itǯs difficult to identify attack behavior.
Therefore, security is a most important concern in
decentralized structure of mobile network. In order to
develop the intrusion detection and isolation in MANET,
Quantum based Adaptive Topology Control (QATC)
technique is developed. In QATC, an adaptive topology
control is designed to adjust the transmission range of the
mobile nodes to extend the lifetime of networks by
retaining the network connectivity. This topology leaves
maximum possible nodes connected in a cluster zone with
minimum energy consumption and transmission
interference. This helps to increase the packet delivery
ratio. After this, the arriving and leaving nodes are
monitored and the malicious node is identified from the
network, through Quantum Mechanism. Quantum
mechanism is typically used to detect the malicious node
from the network using specific key distribution. Due to
this, the malicious nodes are easily detected and isolated,
aiming at improving the Malicious node detection rate
with minimum time. A simulation result shows that the
Quantum based Adaptive Topology Control (QATC)
technique achieves higher packet delivery ratio, malicious
node detection rate and reduces energy consumption, and
time to identify the malicious node compared to state-of-
the-works.
KEYWORDS: Mobile ad hoc network (MANET),
malicious node, Adaptive Topological Control, Quantum
Mechanism, intrusion detection, intrusion isolation
I.INTRODUCTION
A mobile ad hoc network is an infra-structure less
network which can establish the route path through
collection of intermediate mobile nodes. In MANET, the
mobile nodes are randomly moved in any direction. Due to
the mobility of node, the transmission range of the
networks is varied accordingly. By varying the
transmission range, several intrusions continuously attack
the network's accessibility through common techniques
such as flooding, black hole and denial of service (DoS).
The mobile nodes perform packet transmission from one
end to another end with the mobility of nodes and due to
this wide range of intrusion occurs in MANET. Therefore,
several review techniques are expensively developed.
MANET processed with two different types of
modes such as single-hop and multi-hop. The nodes in
MANETs assume that other nodes are always combined
with each other to communicate data, which is exploited
by malicious nodes and propagate intrusive attacks across
the network. Intrusion detection system is developed for
MANET to improve the security level and to detect the
malicious attackers in the network.
To obtain accurate and robust intrusion detection
against several attack and deceiving actions, SIEVE
technique was designed in [1] to infer Identity of Polluters
in MANET by exploiting Rate less Codes and Belief
Propagation (BP). The BP algorithm evaluates the identity
of malicious nodes residing upon the network with simple
pollution detection mechanism. SIEVE technique ensures
multi-party download or collaboration attack detection
with minimal computational, memory and communication
resources. However, node mobility of the ad hoc network
restricts the BP algorithm efficiency, as it affects key Pre-
distribution, identifying routing mechanisms and attack
behavior.
To improve the routing performance in MANET,
Energy-Aware Routing Algorithm was introduced in [2]
along with RMECR and RMER. Reliable Minimum Energy
Cost Routing (RMECR) addresses requirements of ad hoc