Reference : Protect both Integrity and Confidentiality in Outsourcing Collaborative Filtering Com...
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
Security, Reliability and Trust
Protect both Integrity and Confidentiality in Outsourcing Collaborative Filtering Computations
Pejo, Balazs mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Tang, Qiang mailto [Luxembourg Institute of Science & Technology - LIST]
Wang, Husen mailto [Luxembourg Institute of Science & Technology - LIST]
9th IEEE International Conference on Cloud Computing (IEEE CLOUD)
June 27 - July 2, 2016
San Francisco
United States of America
[en] Collaborative Filtering ; Integrity ; Verification
[en] In the cloud computing era, in order to avoid
the computational burdens, many recommendation service
providers tend to outsource their collaborative filtering
computations to third-party cloud servers. In order to
protect service quality, the integrity of computation results
needs to be guaranteed. In this paper, we analyze two
integrity verification approaches by Vaidya et al. and
demonstrate their performances. In particular, we analyze
the verification via auxiliary data approach which is only
briefly mentioned in the original paper, and demonstrate
the experimental results. We then propose a new solution
to outsource all computations of the weighted Slope One
algorithm in two-server setting and provide experimental

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