Fast convergent algorithm for computing the trust value in peer-to-peer networks

In the researches of the trust management of the peer-to-peer networks, the computing of trust value is most important. Typical algorithms nowadays for computing the trust value in peer-to-peer networks are formally analyzed. The results show that these algorithms can't produce the correct trust value. Therefore, a distributed iterative algorithm to compute the trust value called as damping method by its properties is provided. The formal analyses show that damping method must be convergent. Based on the analyses of the convergent speed and security of damping method, a fast convergent trust value computing algorithm or TVCA combining reputation management and self-adaptive adjustment is provided. The experimental results show that TVCA can achieve good effects in many aspects such as efficient computing and malicious attack resistance.