Fig. 8
From: A collaborative service resource evaluation model based on trust network
Simulation result of system with collusive deceivers. Figure shows the evaluation collection capability of a collaborative service network under a collusion attack. The collusion node not only provides a false evaluation to the service, but also increases the credibility of the collusion node and lowers the credibility of the honesty node through malicious slander and flattery. We compared our FRep system and Credence models. The proportion of deceivers are 10%, 20% and 30%, respectively