Abstract-Service provision networks are popular platforms for decentralized service management. eBay and Amazon are two representative examples of enabling and hosting service provision networks for their customers. Trust management is a critical component for scaling service provision networks to larger set of participants. This paper presents ServiceTrust, a quality sensitive and attack resilient trust management facility for service provision networks. ServiceTrust has three unique features. First, it encapsulates quality-sensitive feedbacks by multi-scale rating scheme and incorporates the variances of user's behaviors into the local trust algorithm. Second, ServiceTrust measures the similarity of two users' feedback behavior and aggregate the local trust values into the global trust algorithm by exploiting pairwise feedback similarity scores to weight the contributions of local trust values towards the global trust of a participant. Finally, pairwise feedback similarity weighted trust propagation is utilized to further strengthen the robustness of global trust computation against malicious or sparse feedbacks. Experimental evaluation with independent and colluding attack models show that ServiceTrust is highly resilient to various attacks and highly effective compared to EigenTrust, one of the most popular and representative trust models to date.
REF used feedback similarity as a credibility factor to weight the local-trust value of each peer combined with uniform-trust propagation, which displayed more robustness against the four basic attack models compared to EigenTrust.
ServiceTrust: Trust Management in Service Provision Networks
2013 IEEE International Conference on Services Computing
2013 IEEE International Conference on Services Computing
Computer Science