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.
Outsourcing, cloud computing, cryptographic protocols, data privacy
Computer Sciences | Information Security
IEEE Transactions on Information Forensics and Security
Institute of Electrical and Electronics Engineers (IEEE)
LIU, Ximeng; DENG, Robert H.; DING, Wenxiu; and LU, Rongxing.
Privacy-preserving outsourced calculation on floating point numbers. (2016). IEEE Transactions on Information Forensics and Security. 11, (11), 2513-2527. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3889
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