Infrastructures and tools for multiagent systems for the new generation of distributed systems
Engineering Applications of Artificial Intelligence
Privacy and self-disclosure in multiagent systems
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
An agent infrastructure for privacy-enhancing agent-based e-commerce applications
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Magentix2: A privacy-enhancing Agent Platform
Engineering Applications of Artificial Intelligence
Automated buyer profiling control based on human privacy attitudes
Electronic Commerce Research and Applications
Strategies for avoiding preference profiling in agent-based e-commerce environments
Applied Intelligence
Enhancing privacy in Multi-agent Systems
AI Communications
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Security is becoming a major concern in multiagent systems, since an agent's incorrect or inappropriate behaviour may cause non-desired effects, such as money and data loss. Some multiagent platforms (MAP) are now providing baseline security features, such as authentication, authorization, integrity and confidentiality. However, they fail to support other features related to the sociability skills of agents such as agent groups. What is more, none of the listed MAPs provide a mechanism for preserving the privacy of the users (regarding their identities) that run their agents on such MAPs. In this paper, we present the security infrastructure (SI) of the Magentix MAP, which supports agent groups and preserves user identity privacy. The SI is based on identities that are assigned to all the different entities found in Magentix (users, agents and agent groups). We also provide an evaluation of the SI describing an example application built on top of Magentix and a performance evaluation of it. Copyright © 2010 John Wiley & Sons, Ltd.