On Studying Front-Peer Attack-Resistant Trust and Reputation Mechanisms Based on Enhanced Spreading Activation Model in P2P Environments

In this paper, we proposed two enhanced trust propagation and reputation ranking approaches based on spreading activation model to mitigate the effect of front peer. By front peer it means that these malicious colluding peers always cooperate with others in order to increase their reputation, and then provide misinformation to promote actively malicious peers. One approach is to use adaptive spreading factor to reflect the peer's recommendation ability according to behaviors of the peer's direct/indirect children in trust graph; another way is to investigate the feasibility of propagating distrust to effectively combat front peer. Preliminary simulation results show that those approaches can identify and mitigate the attack of front peer.