IDetect: an intelligent intrusion detection system for wireless body area networks

Abstract

Driven by recent technological advances in wireless communications, wireless sensors, and low power networked systems, wireless sensor networks (WSNs) are emerging as a promising technology in healthcare applications. Since information transmitted in these wireless body area networks (WBAN) often consists of critical and sensitive patient health and personal information, securing these networks is of central importance to their practical deployment in healthcare applications. The objective of this research is to design and develop intelligent intrusion detection techniques to improve security in WBAN. In this work, we propose iDetect, a multi-objective genetic algorithm based intrusion detection system (IDS) to provide optimal attack detection in these networks. The proposed algorithm guarantees that only those features necessary for detecting a specific attack is used in the intrusion detection process, thereby decreasing the computational complexity.