Abstract: Aiming at the problem that the trust model of wireless sensor network (WSN)  usually only resisted external attacks on the network, and ignored how to resist attacks on the trust model itself, we proposed a fast identification model for trust attacks in WSN  based on trust to improve the recognition speed of trust attacks. Firstly, a penalty factor was introduced into the direct trust value to adaptively adjust the decline speed of malicious node trust value,  and at the same time, a volatilization factor was introduced to change the weight of historical trust value in the comprehensive trust value. Secondly, we filtered the direct trust value recommended by the third party node to reduce the adverse impact caused by  malicious evaluation. Finally, we weighted the direct and indirect trust values to obtain a comprehensive trust value to determine whether the node was malicious. The experimental results show that this method can effectively improve the speed of identifying trust attacks when identifying different number of trust attacks.

Key words: wireless sensor network (WSN), trust model, trust attack