Secure and privacy-preserving data services in the cloud: a data centric view

  • Authors:
  • Divyakant Agrawal;Amr El Abbadi;Shiyuan Wang

  • Affiliations:
  • UC Santa Barbara, Santa Barbara, CA;UC Santa Barbara, Santa Barbara, CA;UC Santa Barbara, Santa Barbara, CA

  • Venue:
  • Proceedings of the VLDB Endowment
  • Year:
  • 2012

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Abstract

Cloud computing becomes a successful paradigm for data computing and storage. Increasing concerns about data security and privacy in the cloud, however, have emerged. Ensuring security and privacy for data management and query processing in the cloud is critical for better and broader uses of the cloud. This tutorial covers some common cloud security and privacy threats and the relevant research, while focusing on the works that protect data confidentiality and query access privacy for sensitive data being stored and queried in the cloud. We provide a comprehensive study of state-of-the-art schemes and techniques for protecting data confidentiality and access privacy, which make different tradeoffs in the multidimensional space of security, privacy, functionality and performance.