Cluster-based Trust Management Approach to Mitigate Attacks in WBAN

The advent in Wireless Body Area Networks (WBANs) provides promising services for remote diagnostic and monitoring. The security requirements in this context are challenging and evolving. The WBAN should support these security requirements to continuously provide efficient services to patients. Trust management is one of the interesting security mechanisms that can be enforced to enhance the WBAN security. In this paper, we propose a new cluster-based approach to manage trust in WBAN. The clusters are defined based on the direct and indirect exchanges between nodes. Our approach is hybrid: it calculates the direct and the indirect trust based on the priority of forwarded messages, the feedbacks of different exchanges, and the credibility coefficient. The simulation results show the efficiency of our model against three different attacks: the on-off attack, the collusion attack, and the newcomer attack.