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Towards Privacy in a Context-Aware Social Network Based Recommendation System

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2 Author(s)
Po-Wah Yau ; Inf. Security Group, R. Holloway, Univ. of London, Egham, UK ; Tomlinson, A.

Previous work has reported on `Instant Knowledge', a context-aware social networking based recommendation system for enterprise. This paper outlines a hierarchical privacy architecture, to provide anonymity, unlink ability, unobservability and pseudonymity to IK users. Users are grouped according to `proportional distance reservation', which indicates how likely users are willing to share private information. The protection of private information is stronger when queries are made by `distant' users, and weaker for fellow group members.

Published in:

Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on

Date of Conference:

9-11 Oct. 2011