All Outputs (4)

Using Information Theory to Improve the Robustness of Trust Systems (2015)
Conference Proceeding
Wang, D., Muller, T., Irissappane, A. A., Zhang, J., & Liu, Y. (2015). Using Information Theory to Improve the Robustness of Trust Systems. In AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, (791--799). https://doi.org/10.5555/2772879.2773255

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
Muller, T., Liu, Y., & Zhang, J. (2015). The Fallacy of Endogenous Discounting of Trust Recommendations. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, (563-572). https://doi.org/10.5555/2772879.2772951

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
Wang, D., Muller, T., Zhang, J., & Liu, Y. (2015). Quantifying robustness of trust systems against collusive unfair rating attacks using information theory. In IJCAI'15: Proceedings of the 24th International Conference on Artificial Intelligence. , (111-117)

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.

Expressiveness modulo bisimilarity of regular expressions with parallel composition (2015)
Journal Article
Luttik, B. A., Baeten, J. C., Muller, T. I., & Van Tilburg, P. (2015). Expressiveness modulo bisimilarity of regular expressions with parallel composition. Mathematical Structures in Computer Science, 26(6), 933-968. https://doi.org/10.1017/S0960129514000309

© Cambridge University Press 2015. The languages accepted by finite automata are precisely the languages denoted by regular expressions. In contrast, finite automata may exhibit behaviours that cannot be described by regular expressions up to bisimil... Read More about Expressiveness modulo bisimilarity of regular expressions with parallel composition.