Lancaster EPrints

Enhancing privacy in Multi-agent Systems

Such, Jose M. (2012) Enhancing privacy in Multi-agent Systems. AI Communications, 25 (4). pp. 377-379. ISSN 0921-7126

Full text not available from this repository.


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.

Item Type: Journal Article
Journal or Publication Title: AI Communications
Uncontrolled Keywords: Privacy ; Multi-agent Systems ; autonomous agents
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 60417
Deposited By: ep_importer_pure
Deposited On: 04 Dec 2012 09:10
Refereed?: Yes
Published?: Published
Last Modified: 11 Apr 2018 00:48
Identification Number:

Actions (login required)

View Item