Such, Jose M. (2012) Enhancing privacy in Multi-agent Systems. AI Communications, 25 (4). pp. 377-379. ISSN 0921-7126Full 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.
|Journal or Publication Title:||AI Communications|
|Uncontrolled Keywords:||Privacy ; Multi-agent Systems ; autonomous agents|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||04 Dec 2012 09:10|
|Last Modified:||18 Jan 2017 03:49|
Actions (login required)