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.
Keywords: Peer-to-Peer Network, Trust, Reputation, RBF Artificial Neural Network.
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ABOUT THE AUTHORS
Reza Azmi
Alzahra University
Mahdieh Hakimi
Alzahra University
Zahra Bahmani
Alzahra University
Reza Azmi
Alzahra University
Mahdieh Hakimi
Alzahra University
Zahra Bahmani
Alzahra University