Clone Detection Using Enhanced EDD (EEDD) with Danger Theory in Mobile Wireless Sensor Network
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Date
2015
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Abstract
In the recent years, Wireless Sensor Networks (WSN) are widely used to reap the
benefits o f sensing capacity o f mobile nodes and its wireless mode o f communication.
Sensor network architectures can be used for various applications that include intrusion
detection, military patrols, border monitoring, etc. The security o f nodes in a sensor
network is a challenging issue as they are easy targets for attacks. The node replication
attack is one among those attacks. The adversary can capture security credentials from a
node by compromising the node. The adversary can replicate the node using the same ID.
To rectify this problem in a sensor network, various replica node detection techniques
have been proposed. These techniques do not work well when multiple replicas are
introduced in the neh\>ork against genuine nodes. Subsequently, the detection capability of
the nehvork is degi-aded. To overcome these problems, this paper proposes Enhanced
Efficient Distributed Detection (EEDD) algorithm. It combines the best features o f EDD
and danger theory o f artificial immune system. This hybrid approach EEDD detects the
clones. This method prevents multiple replicas in the WSN. The advantages o f the
proposed method include (i) increased detection rate, (ii) decreased overheads, (Hi) high
Packet Delivery Ratio (PDR) and (iv) low energy consumption. The proposed method is
tested in a simulated environment.