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

Author

Yau, Po-Wah ; Tomlinson, Allan

Author_Institution

Inf. Security Group, R. Holloway, Univ. of London, Egham, UK

fYear

2011

fDate

9-11 Oct. 2011

Firstpage

862

Lastpage

865

Abstract

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.

Keywords

query processing; recommender systems; security of data; social networking (online); ubiquitous computing; context-aware social networking based recommendation system; hierarchical privacy architecture; instant knowledge; private information protection; private information sharing; proportional distance reservation; pseudonymity; unobservability; Data privacy; Measurement; Mobile communication; Privacy; Security; Social network services; Vectors; context-aware; privacy; social networking;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Boston, MA

Print_ISBN

978-1-4577-1931-8

Type

conf

DOI

10.1109/PASSAT/SocialCom.2011.87

Filename

6113230