Privacy-preserving layer over MapReduce on cloud

Xuyun Zhang*, Chang Liu, Surya Nepal, Wanchun Dou, Jinjun Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

13 Citations (Scopus)

Abstract

Cloud computing provides powerful and economical infrastructural resources for cloud users to handle ever-increasing Big Data with data-processing frameworks such as MapReduce. Based on cloud computing, the MapReduce framework has been widely adopted to process huge-volume data sets by various companies and organizations due to its salient features. Nevertheless, privacy concerns in MapReduce are aggravated because the privacy-sensitive information scattered among various data sets can be recovered with more ease when data and computational power are considerably abundant. Existing approaches employ techniques like access control or encryption to protect privacy in data processed by MapReduce. However, such techniques fail to preserve data privacy cost-effectively in some common scenarios where data are processed for data analytics, mining and sharing on cloud. As such, we propose a flexible, scalable, dynamical and cost-effective privacy-preserving layer over the MapReduce framework in this paper. The layer ensures data privacy preservation and data utility under the given privacy requirements before data are further processed by subsequent MapReduce tasks. A corresponding prototype system is developed for the privacy-preserving layer as well.

Original languageEnglish
Title of host publicationSecond International Conference on Cloud and Green Computing/Second International Conference on Social Computing and its Applications (CGC/SCA 2012)
EditorsJianxun Liu, Jinjun Chen, Guandong Xu
Place of PublicationLos Alamitos
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages304-310
Number of pages7
ISBN (Print)9781467330275
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012 - Xiangtan, Hunan, China
Duration: 1 Nov 20123 Nov 2012

Other

Other2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012
CountryChina
CityXiangtan, Hunan
Period1/11/123/11/12

Keywords

  • cloud computing
  • MapReduce
  • privacy preservation
  • Big Data
  • framework

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