Privacy Protection in 5G Positioning and Location-based Services Based on SGX-Reference-Cited by-同舟云学术

Privacy Protection in 5G Positioning and Location-based Services Based on SGX

Published:2022-08-30 Issue:3 Volume:18 Page:1-19
ISSN:1550-4859
Container-title:ACM Transactions on Sensor Networks
language:en
Short-container-title:ACM Trans. Sen. Netw.

Author:

Yan Zheng¹^ORCID,Qian Xinren²^ORCID,Liu Shushu³^ORCID,Deng Robert⁴^ORCID

Affiliation:

1. The State Key Lab of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, China and The Department of Communications and Networking, Aalto University, Espoo, Finland

2. The State Key Lab of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, China

3. The Department of Communications and Networking, Aalto University, Espoo, Finland

4. The School of Information Systems, Singapore Management University, Singapore

Abstract

As the sensitivity of position, the privacy protection in both 5G positioning and its further application in location-based services (LBSs) has been paid special attention and studied. Solutions based on k-anonymity, homomorphic encryption, and secure multi-party computation have been proposed. However, these solutions either require a trusted third party or incur heavy overheads. Besides, there still lacks an integrated solution that can protect privacy for both positioning and LBS provision. Based on Intel SGX, this article proposes a novel light-weight scheme that can protect privacy in both 5G positioning and its further applications in LBS provision in an integrated way. Through secret sharing, the proposed scheme can also support multiple location-based service providers without frequent key exchange. We seriously analyze the security of our scheme. Based on scheme implementation, its efficiency is proved through the performance evaluation conducted over a real-world database.

Funder

Academy of Finland

National Natural Science Foundation of China

ZheJiang Lab

Shaanxi Innovation Team Project

111 Project

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Link

https://dl.acm.org/doi/pdf/10.1145/3512892

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