DIDS: A dynamic model of intrusion detection system in wireless sensor networks

Abstract

Security of wireless sensor networks (WSN) has become one of the hottest areas over the past few years. However, insufficiency of memory and battery power of sensors makes sensor networks vulnerable to be attacked. As a second line of defense, Intrusion Detection System (IDS) is one useful method defending against attacks. In present literatures, most of IDS models in WSN are Static IDS (SIDS), which have inherent disadvantages and are not feasible for WSN. This paper proposes a Dynamic model of IDS (DIDS) for WSN, which has a remarkable improvement in the security, stability and robustness issues as compared to SIDS. Simulation results show that DIDS's detection rate is 10% higher than SIDS with a range of 15m and much higher with smaller ranges, and DIDS can prolong the lifetime of networks by 8% on average.

Intrusion Detection in Heterogeneous Networks of Resource-Limited Things

“…There are many variations to this mechanism in the literature. A different, more sophisticated approach is using more advanced, rule-based intrusion detection systems [12], capable of detecting many different kinds of attacks. Both approaches require modification of all or selected nodes.…”