A Survey of Recent Intrusion Detection Systems for Wireless Sensor Network

TL;DR

This paper reviews recent intrusion detection systems for wireless sensor networks, emphasizing sleep deprivation attack mitigation, and proposes a layered cluster-based framework validated by MATLAB simulations.

Contribution

It provides a comprehensive survey of current IDS for WSN and introduces a novel layered cluster-based countermeasure for sleep deprivation attacks.

Findings

The proposed framework effectively detects sleep deprivation attacks.

Simulation results show high detection accuracy.

Layered approach improves energy efficiency in WSN.

Abstract

Security of Wireless sensor network (WSN) becomes a very important issue with the rapid development of WSN that is vulnerable to a wide range of attacks due to deployment in the hostile environment and having limited resources. Intrusion detection system is one of the major and efficient defensive methods against attacks in WSN. A particularly devastating attack is the sleep deprivation attack, where a malicious node forces legitimate nodes to waste their energy by resisting the sensor nodes from going into low power sleep mode. The goal of this attack is to maximize the power consumption of the target node, thereby decreasing its battery life. Existing works on sleep deprivation attack have mainly focused on mitigation using MAC based protocols, such as S-MAC, T-MAC, B-MAC, etc. In this article, a brief review of some of the recent intrusion detection systems in wireless sensor network environment is presented. Finally, we propose a framework of cluster based layered countermeasure that can efficiently mitigate sleep deprivation attack in WSN. Simulation results on MATLAB exhibit the effectiveness of the proposed model in detecting sleep-deprivation attacks.