BAN-trust: An attack-resilient malicious node detection scheme for body area networks

Abstract

Body area networks (BAN) has recently emerged as an important enabling technology to support various telehealth applications. Because of its unique application domain, it is critical to ensure the secure and reliable gathering of patient's physiological signs. However, most of the existing security solutions for BANs focus on using encryption techniques to secure the data transmission or provide authentication. On the other hand, it is well understood that BANs are also extremely vulnerable to various malicious attacks, which have not attracted abundant research attention so far. In this paper, an attack-resilient malicious node detection scheme (BAN-Trust) is proposed for wireless body area networks that is able to detect and cope with malicious attacks in BANs. The effectiveness and efficiency of the proposed BAN-Trust scheme is validated through extensive experiments.