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Open AccessArticle

An Efficient Dummy-Based Location Privacy-Preserving Scheme for Internet of Things Services

1
School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730000, China
2
Baidu Inc.Baidu Building, 10 Shangdi 10th Street, Haidian District, Beijing 100000, China
*
Author to whom correspondence should be addressed.
Information 2019, 10(9), 278; https://doi.org/10.3390/info10090278
Received: 22 July 2019 / Revised: 20 August 2019 / Accepted: 31 August 2019 / Published: 5 September 2019
(This article belongs to the Special Issue The End of Privacy?)
With the rapid development of GPS-equipped smart mobile devices and mobile computing, location-based services (LBS) are increasing in popularity in the Internet of Things (IoT). Although LBS provide enormous benefits to users, they inevitably introduce some significant privacy concerns. To protect user privacy, a variety of location privacy-preserving schemes have been recently proposed. Among these schemes, the dummy-based location privacy-preserving (DLP) scheme is a widely used approach to achieve location privacy for mobile users. However, the computation cost of the existing dummy-based location privacy-preserving schemes is too high to meet the practical requirements of resource-constrained IoT devices. Moreover, the DLP scheme is inadequate to resist against an adversary with side information. Thus, how to effectively select a dummy location is still a challenge. In this paper, we propose a novel lightweight dummy-based location privacy-preserving scheme, named the enhanced dummy-based location privacy-preserving(Enhanced-DLP) to address this challenge by considering both computational costs and side information. Specifically, the Enhanced-DLP adopts an improved greedy scheme to efficiently select dummy locations to form a k-anonymous set. A thorough security analysis demonstrated that our proposed Enhanced-DLP can protect user privacy against attacks. We performed a series of experiments to verify the effectiveness of our Enhanced-DLP. Compared with the existing scheme, the Enhanced-DLP can obtain lower computational costs for the selection of a dummy location and it can resist side information attacks. The experimental results illustrate that the Enhanced-DLP scheme can effectively be applied to protect the user’s location privacy in IoT applications and services. View Full-Text
Keywords: Internet of Things; location-based service; dummy location selection; location privacy Internet of Things; location-based service; dummy location selection; location privacy
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Du, Y.; Cai, G.; Zhang, X.; Liu, T.; Jiang, J. An Efficient Dummy-Based Location Privacy-Preserving Scheme for Internet of Things Services. Information 2019, 10, 278.

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