Cryptographic framework for analyzing the privacy of recommender algorithms

Tang, Qiang (2012) Cryptographic framework for analyzing the privacy of recommender algorithms. In: International Conference on Collaboration Technologies and Systems, CTS 2012, 21-25 May 2012, Denver, CO, USA.

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Abstract:	Recommender algorithms are widely used, ranging from traditional Video on Demand to a wide variety of Web 2.0 services. Unfortunately, the related privacy concerns have not received much attention. In this paper, we study the privacy concerns associated with recommender algorithms and present a cryptographic security model to formulate the privacy properties. We propose two privacy-preserving content-based recommender algorithms and prove their properties. Moreover, we show the potential weakness in some existing collaborative filtering algorithms which claim to provide privacy protection.
Item Type:	Conference or Workshop Item
Copyright:	© 2012 IEEE
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Distributed and Embedded Systems (DIES)
Link to this item:	http://purl.utwente.nl/publications/81274
Official URL:	http://dx.doi.org/10.1109/CTS.2012.6261090
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