Detection of Replica Node Attack Based on Hybrid Artificial Immune System Technique
Subtitle: ICCS 2014
Publisher: Association of Scientists, Developers and Faculties
Published: 2014
Place of publication: Bangkok, Thailand
Language: eng
Format: Hardcopy
Number of pages: 75
ISBN-13: 9788192523354
Description: In the recent years, Wireless Sensor Networks (WSNs) provide an economically feasible solution to a diversity of applications. The applications include object tracking and environmental monitoring. However, security of sensor nodes is critical because of the unattended nature of the network and thus they are prone to many attacks. One such attack is the node replication attack which corrupts the entire network by compromising few sensor nodes. Few of the techniques are proposed to detect the node replication attack using witness finding strategy and centralized detection methods are used for static networks. These methods incur high communication and memory overheads and induce problems related to security and efficiency. This paper  proposes to solve these issues using Enhanced eXtremely Efficient Detection (Enhanced XED) and integrated Artificial Immune Systems (iAIS) model to detect the clones which are not resilient against collusive replicas. The advantages of the proposed method include (i) increase in the detection rate, (ii) decrease in the false rates, (iii) effectiveness and (iv) low energy consumption. The performance of the proposed work is measured using Bandwidth, Message drop, Energy, Overhead, Average Delay and Packet Delivery Ratio. The implementation is done using ns2 to exhibit the actuality of the proposed method.