A Fuzzy Trust Evaluation of Cloud Collaboration Outlier Detection in Wireless Sensor Networks

One of the primary challenges in Wireless Sensor Networks (WSNs) is security. This research proposes an efficient fuzzy trust evaluation of cloud collaboration outlier detection (FTCO) in WSNs to ensure security in clustered WSNs. In the beginning, an interval type-2 fuzzy logic con-troller is used for trusts estimation in an open wireless medium to deal with transmission uncertainty. Then, to prevent fraudulent nodes from becoming cluster heads (CHs), an outlier detection based on density approach is employed to obtain an adaptive trust threshold. Furthermore, a fuzzy-based CHs election mechanism is proposed to strike a balance among security assurance and energy conservation, with a normal sensor node with greater residual energy or lower trust in various nodes having a higher possibility of being the CH. Experimental tests show that our fuzzy-based clustering technique can highly defend the network against assaults from hostile or the compromised nodes within the network and the network lifetime is found to be 40 % higher than other systems.