A P2P recommended trust nodes selection algorithm based on topological potential

Due to their open, distribution and anonymous nature, P2P systems are extremely susceptible to malicious users spreading harmful content. It is important to develop effective and efficient reputation based global trust model. This paper proposes a topological potential method derived from social network analysis to measure the recommendation degree of the recommended trust nodes by taken into account both the status and reputation. Having considered the reputation for each node and trust measurement between them, the method could appraise the integrated recommendation degree of P2P recommended trust nodes objectively. Thus, the goal to create the trust model is achieved by the help of selecting trust nodes effectively.