Privacy-preserving location-based service protocols with flexible access
by Shuyang Tang; Shengli Liu; Xinyi Huang; Zhiqiang Liu
International Journal of Computational Science and Engineering (IJCSE), Vol. 20, No. 3, 2019

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.

Online publication date: Tue, 03-Dec-2019

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