Privacy-enhancing personalized web search
Proceedings of the 16th international conference on World Wide Web
IEEE Internet Computing
Security of social information from query analysis in DaaS
Proceedings of the 2009 EDBT/ICDT Workshops
Privacy-preserving data publishing: A survey of recent developments
ACM Computing Surveys (CSUR)
Value Added Privacy Services for Healthcare Data
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
Modeling and Respecting Privacy Specification when Composing DaaS Services*
International Journal of Web Services Research
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In this paper, we present Meerkat, a dynamic framework for preserving privacy in Web services. We define a Web service-aware privacy model that deals with the privacy of input data, output data, and operation usage. We introduce a matching protocol that caters for partial and total privacy compatibility. Finally, we propose a negotiation model to reconcile clients' requirements with providers' policies in case of incompatibility.