TrustSets - Using Trust to Detect Deceitful Agents in a Distributed Information Collecting System

Quang Anh Nguyen Vu (1, 2) , Benoit Gaudou (3, 4) , Richard Canal (1) , Frédéric Armetta (2) , Salima Hassas (2)

1 MSI - Modélisation et Simulation Informatique de systèmes complexes
2 LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production
3 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
4 UT Capitole - Université Toulouse Capitole

This paper presents a study on how to improve a distributed information collecting system in which information is collected by a multi-agent system constituted by communicating agents, assuming the hypothesis that some agents of this system can deliberately (liar agents) or in good faith (defective agents) produce or communicate incorrect information. To ensure the coherence of the information system under these constraints, we aim to gradually limit the impact of the incoming perturbations. To reach this goal, we propose that each agent develops its own communication strategy from a TrustSet it builds using information collected by itself and information received from agents it communicates with.

Mots clés: Multi-Agents System; Trust; Coherence; Robustness; TrustNet; Mapping

Domaines: Modélisation et simulation

Quang Anh Nguyen Vu, Benoit Gaudou, Richard Canal, Frédéric Armetta, Salima Hassas. TrustSets - Using Trust to Detect Deceitful Agents in a Distributed Information Collecting System. IEEE International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF 2010), IEEE, Nov 2010, Hanoï, Vietnam. ⟨10.1109/RIVF.2010.5633080⟩. ⟨hal-00536848⟩