[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
results.
Disciplines :
Computer science
Author, co-author :
PEJO, Balazs ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Tang, Qiang; Luxembourg Institute of Science & Technology - LIST
Wang, Husen; Luxembourg Institute of Science & Technology - LIST
External co-authors :
no
Language :
English
Title :
Protect both Integrity and Confidentiality in Outsourcing Collaborative Filtering Computations
Publication date :
27 June 2016
Event name :
9th IEEE International Conference on Cloud Computing (IEEE CLOUD)