Dynamic Reputation Based Trust Management Using Neural Network Approach
Multi-agent systems like Peer-To-Peer (P2P) Networks employ scalable mechanisms that allow anyone to offer content and services to other system users. The open accessibility of these networks makes them vulnerable to malicious users wishing to poison the system. This paper proposed a novel trust and reputation system, using RBF artificial neural network to determine trust level and mitigate the number of unreliable downloads. Agents in P2P Networks are anonymous and heterogeneous also there is no central authentication system.