All Outputs (3)

Using Information Theory to Improve the Robustness of Trust Systems (2015)
Conference Proceeding

Unfair rating attacks to trust systems can affect the accuracy of trust evaluation when trust ratings (recommendations) about trustee agents are sought by truster agents from others (advisor agents). A robust trust system should remain accurate, even... Read More about Using Information Theory to Improve the Robustness of Trust Systems.

The Fallacy of Endogenous Discounting of Trust Recommendations (2015)
Conference Proceeding

Recommendations are widely used in recommender systems, reputation systems, and trust-based security systems. Some existing reputation systems and trust-based security systems use the flawed notion of endogenous discounting. Endogenous discounting is... Read More about The Fallacy of Endogenous Discounting of Trust Recommendations.

Quantifying robustness of trust systems against collusive unfair rating attacks using information theory (2015)
Conference Proceeding

Unfair rating attacks happen in existing trust and reputation systems, lowering the quality of the systems. There exists a formal model that measures the maximum impact of independent attackers [Wang et al., 2015] - based on information theory. We im... Read More about Quantifying robustness of trust systems against collusive unfair rating attacks using information theory.