Communication Dans Un Congrès Année : 2015

Using KL Divergence for Credibility Assessment

Thibaut Vallée

Résumé

In reputation systems, agents collectively estimate the oth-ers' behaviours through feedbacks to decide with whom they can interact. To avoid manipulations, most reputation systems weight feedbacks with respect to the agents' reputation. However, these systems are sensitive to some strategic manipulations, like oscillating attacks or whitewashing. In this paper, we propose (1) a credibility measure of feed-backs based on the Kullback-Leibler divergence to detect malicious behaviours and (2) filtering functions to enhance already known reputation functions.

Fichier principal
Vignette du fichier
2015_Thibaut_Vallee_AAMAS.pdf (208.64 Ko) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence
Loading...

Dates et versions

hal-01196709 , version 1 (10-09-2015)

Licence

Identifiants

  • HAL Id : hal-01196709 , version 1

Citer

Thibaut Vallée, Grégory Bonnet. Using KL Divergence for Credibility Assessment. 2015 International Conference on Autonomous Agents and Multiagent Systems, May 2015, Istanbul, Turkey. ⟨hal-01196709⟩
143 Consultations
152 Téléchargements

Partager

  • More