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Article
Privacy-preserving outsourced calculation on floating point numbers
IEEE Transactions on Information Forensics and Security
  • Ximeng LIU, Singapore Management University
  • Robert H. DENG, Singapore Management University
  • Wenxiu DING, University of New Brunswick
  • Rongxing LU, Southwest University of Science and Technology
Publication Type
Journal Article
Version
acceptedVersion
Publication Date
11-2016
Abstract

In this paper, we propose a framework for privacy-preserving outsourced calculation on floating point numbers (POCF). Using POCF, a user can securely outsource the storing and processing of floating point numbers to a cloud server without compromising on the security of the (original) data and the computed results. In particular, we first present privacy-preserving integer processing protocols for common integer operations. We then present an approach to outsourcing floating point numbers for storage in a privacy-preserving way, and securely processing commonly used floating point number operations on-the-fly. We prove that the proposed POCF achieves the goal of floating point number processing without privacy leakage to unauthorized parties, and demonstrate the utility and the efficiency of POCF using simulations.

Keywords
  • Outsourcing,
  • cloud computing,
  • cryptographic protocols,
  • data privacy
Identifier
10.1109/TIFS.2016.2585121
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Copyright Owner and License
Authors
Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Additional URL
https://doi.org/10.1109/TIFS.2016.2585121
Citation Information
Ximeng LIU, Robert H. DENG, Wenxiu DING and Rongxing LU. "Privacy-preserving outsourced calculation on floating point numbers" IEEE Transactions on Information Forensics and Security Vol. 11 Iss. 11 (2016) p. 2513 - 2527 ISSN: 1556-6013
Available at: http://works.bepress.com/robert-deng/266/