An Enhanced Sociopsychological-based Trust Model for Boosting Security in Wireless Sensors Networks

Abstract

Wireless sensor network (WSN) is growing exponentially, as well as WSN attacks. Trust between nodes in WSNs is emerging as a crucial factor in WSN security, since nodes cooperation is vital besides their capability of sensing, processing and communicating data. Research on security in WSNs has explored cryptography mechanisms, intrusion detection systems. Using these traditional techniques to eliminate insider attacks is possible but is inefficient in WSNs due to computational limitations. In this paper, we propose an enhanced sociopsychological-based trust model that utilizes fuzzy logic for realistically relate the Ability, Benevolence and Integrity components to get better and smooth trust rating, which in turn enhances the WSN stability. Preliminary results of our model show good improvement in trust rating computation over the original model.