Enhancing privacy in Multi-agent Systems

Article type: Research Article

Authors: Such, Jose M.

Affiliations: Departament de Sistemes Informàtics i Computació, Universitat Politècnica de València, València, Spain. E-mail: jsuch@dsic.upv.es

Abstract: In this thesis, we focus on avoiding undesired information collection and information processing in Multi-agent Systems. In order to avoid undesired information collection we propose a decision-making model for agents to decide whether disclosing personal information to other agents is acceptable or not. We also contribute a secure Agent Platform that allows agents to communicate with each other in a confidential fashion. In order to avoid undesired information processing, we propose an identity management model for agents in a Multi-agent System. This model avoids undesired information processing by allowing agents to hold as many identities as needed for minimizing data identifiability.

Keywords: Privacy, Multi-agent Systems, autonomous agents

DOI: 10.3233/AIC-2012-0521

Journal: AI Communications, vol. 25, no. 4, pp. 377-379, 2012