Reliable reputation computing based on double-layer reputation and feedback mechanism

Abstract

Mainly considering trust computing in transaction layer,traditional reputation mechanisms cannot well solve the attack and disturbance problem using rating in multi-Agent system.A double-layer reputation model based on transaction reputation and rating reputation,as well as the rating reputation feedback (RRF) mechanism,was designed.The model distinguished the two different layer reputation concepts as transaction reputation and rating reputation.The model decided the impact weight of consumer agent to transaction reputation of provider Agent using former's rating reputation,and adjusted past estimators' rating reputation based on the distance between current rating feedback value and the rating value from them.Then the weighted sum-quadratic polynomial (WS-QP) algorithm based on RRF was raised.The theoretical proof and the experimental results indicate that model and the mechanism can effectively reduce the impact of disturbance and attack problems,including malicious rating,arbitrary and unfair rating.