Distributed intrusion detection model in wireless sensor network

Abstract

The security issues of Wireless Sensor Network (WSN) are significant, among which intrusion detection can improve the defense detection performance of WSN, and also balance the security and energy-saving accurately and efficiently. In this paper, we focus on the intrusion detection problem in WSN. Specifically, we propose a cluster-based collaborative detection structure, and the detection algorithm is based on immunity system and Ant Colony Optimization (ACO). The basic idea is to formulate intrusion detection as an optimization problem and introduce immune mechanism into ACO during iterations. Finally, the experiment shows that proposed algorithm outperforms other methods.