Title: Privacy-preserving location-based service protocols with flexible access

Authors: Shuyang Tang; Shengli Liu; Xinyi Huang; Zhiqiang Liu

Addresses: Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China ' Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China ' School of Mathematics and Computer Science, Fujian Normal University, Fujian, China ' Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

Abstract: We propose an efficient privacy-preserving, content-protecting location-based service (LBS) scheme. Our proposal gives refined data classification and uses generalised ElGamal to support flexible access to different data classes. We also make use of pseudo-random function (PRF) to protect users' position query. Since PRF is light-weight primitive, our proposal enables the cloud server to locate position efficiently while preserving the privacy of the queried position.

Keywords: location-based services; LBS; outsourced cloud; security; privacy preserving; public-key cryptosystems; pseudo-random function; PRF; ElGamal cryptosystem.

DOI: 10.1504/IJCSE.2019.103946

International Journal of Computational Science and Engineering, 2019 Vol.20 No.3, pp.412 - 423

Received: 19 Jan 2017
Accepted: 17 Jul 2017
Published online: 03 Dec 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article