Self-constraint Reputation Updating Model

【Abstract】Encounter or interactions between nodes unknown to each other are inevitable in Internet transaction. Reputation mechanism is to facilitate the entities trust relationship in decentralized environments. This paper provides a computational model based on directed trust and recommender trust, introduces a self-constraint reputation updating model, which focuses on the reputation rating fluctuating factor. It puts forward an idea about malicious user’s reputation punishment. By comparing with Bayesian probabilistic trust model, it shows some benefits from simulation result: in the model, reputation rating will drop off fast whenever continuous failure transactions.