Efficient and privacy-preserving outsourced calculation of rational numbers

• Main Authors: LIU, Ximeng, CHOO, Kim-Kwang Raymond, DENG, Robert H., LU, Rongxing, WENG, Jian
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Privacy-preserving; homomorphic encryption; outsourced computation; rational numbers; encrypted data processing; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/4116; https://ink.library.smu.edu.sg/context/sis_research/article/5119/viewcontent/Privacy_Preserving_Rational_Numbers_2018_afv.pdf
• Institution: Singapore Management University

In this paper, we propose a framework for efficient and privacy-preserving outsourced calculation of rational numbers, which we refer to as POCR. Using POCR, a user can securely outsource the storing and processing of rational numbers to a cloud server without compromising the security of the (original) data and the computed results. We present the system architecture of POCR and the associated toolkits required in the privacy preserving calculation of integers and rational numbers to ensure that commonly used outsourced operations can be handled on-the-fly. We then prove that the proposed POCR achieves the goal of secure integer and rational number calculation without resulting in privacy leakage to unauthorized parties, and demonstrate the utility and the efficiency of POCR using simulations.