A novel data distortion approach via selective SSVD for privacy protection
International Journal of Information and Computer Security
A citizen privacy protection model for e-government mashup services
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Privacy protection in government mashups
Information Polity - Government Information Sharing and Integration: Combining the Social and the Technical. Papers from the 9th International Conference on Digital Government Research (d.g.o.2008)
A trusted method for self-profiling in e-commerce
AAMAS'02 Proceedings of the 2002 international conference on Trust, reputation, and security: theories and practice
Designing for privacy in a multi-agent world
AAMAS'02 Proceedings of the 2002 international conference on Trust, reputation, and security: theories and practice
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In recent years there has been a movement toward deployment of distributed approaches for electronic commerce. Intelligent software agents, may be instructed to act on behalf of human users in electronic transactions. A challenge with this approach is that the agents would be entrusted with access to sensitive personal or business information. How can this sensitive information be protected from unauthorized access? How can agents negotiate across jurisdictional boundaries; both corporate, and country? How can disparate regulations be accommodated effectively? What technologies are appropriate for maintaining user privacy and for protecting sensitive information for agent- based e-commerce? In this paper, we describe the issues that provoke privacy challenges for agent-based e-commerce as well as an approach for policy-driven privacy negotiation for use in agent-based systems.