A Study on the Intrusion Detection System's Nodes Scheduling Using Genetic Algorithm in Sensor Networks

Abstract

Security is a significant concern for many sensor network applications. Intrusion detection is one method of defending against attacks. However, standard intrusion detection techniques are not suitable for sensor networks with limited resources. In this paper, propose a new method for selecting and managing the detect nodes in IDS(intrusion detection system) for anomaly detection in sensor networks and the node scheduling technique for maximizing the IDS's lifetime. Using the genetic algorithm, developed the solutions for suggested optimization equation and verify the effectiveness of proposed methods by simulations. 키워드 센서네트워크, 침입탐지, 보안, 최적화, 유전자 알고리즘