A privacy controller approach for privacy protection in web services
Proceedings of the 2007 ACM workshop on Secure web services
Privately detecting bursts in streaming, distributed time series data
Data & Knowledge Engineering
Colbar: A collaborative location-based regularization framework for QoS prediction
Information Sciences: an International Journal
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Privacy preservation in a peer-to-peer (P2P) system tries to hide the association between the identity of a participant and the data that it is interested in. This paper proposes a trust-based privacy-preservation method for P2P data sharing. It adopts the trust relation between a peer and its collaborators (buddies). The buddy works as a proxy to send the request and acquire the data. This provides a shield under which the identity of the requester and the accessed data cannot be linked. A privacy measuring method is presented to evaluate the proposed mechanism. Dynamic trust assessment and the enhancement to supplier's privacy are discussed