Agent-based intrusion detection and self-recovery system for wireless sensor networks

Abstract

Wireless sensor networks (WSNs) have become one of the most promising and interesting areas over the past few years. But the properties of constrained resources make WSNs vulnerable to different types of intrusions such as Denial of Service (DoS) attacks which result in a large number of compromised nodes. For success application of ubiquitous WSN it is important to maintain the basic security. However, there is not an effective intrusion detection and self-recovery system to eliminate the harm of DoS attacks. To solve the problem, an agent-based intrusion detection and self-recovery system for WSNs is proposed, which adopts the distributed architecture to monitor intrusion activities and realize abnormal events processing in local nodes. Finally, the system is analyzed and verified. The simulation results indicate that the compromised nodes can self-recover effectively and network total energy consumption also is reduced effectively.