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

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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.

Item Type:
Journal Article
Journal or Publication Title:
AI Communications
Subjects:
ID Code:
60417
Deposited By:
Deposited On:
04 Dec 2012 09:10
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 08:14