Publication Type

Journal Article

Version

acceptedVersion

Publication Date

1-2018

Abstract

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.

Keywords

Privacy-preserving, homomorphic encryption, outsourced computation, rational numbers, encrypted data processing

Discipline

Information Security

Research Areas

Cybersecurity

Publication

IEEE Transactions on Dependable and Secure Computing

Volume

15

Issue

1

First Page

27

Last Page

39

ISSN

1545-5971

Identifier

10.1109/TDSC.2016.2536601

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/TDSC.2016.2536601

Download

Share

COinS