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
Discipline
Computer Sciences | Information Security
Research Areas
Cybersecurity
Publication
IEEE Transactions on Information Forensics and Security
Volume
11
Issue
11
First Page
2513
Last Page
2527
ISSN
1556-6013
Identifier
10.1109/TIFS.2016.2585121
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
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.
Available at: https://ink.library.smu.edu.sg/sis_research/3889
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TIFS.2016.2585121