Detection of Replica Node Attack Based on Hybrid Artificial Immune System Technique

L S Sindhuja¹, G Padmavathi²

¹Research Scholar, ²Professor and Head, Department of Computer Science, Avinashilingam University, Coimbatore

Abstract

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.

Keywords

• Wireless Sensor Networks, Node replication attack, B- cells, Dendritic Cells, eXtremely Efficient Detection

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Cite this Article as Follows

L S Sindhuja, G Padmavathi. Detection of Replica Node Attack Based on Hybrid Artificial Immune System Technique. International Conference on Cryptography and Security 2014. Vol. 1. Chennai: Association of Scientists, Developers and Faculties, 2014. 57-67. Print.