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

Loading...
Thumbnail Image
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2022-08-30
Major/Subject
Mcode
Degree programme
Language
en
Pages
19
Series
ACM TRANSACTIONS ON SENSOR NETWORKS, Volume 18, issue 3
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.
Description
Funding Information: The work is supported in part by the Academy of Finland under Grants 308087, 335262, and 345072; in part by the National Natural Science Foundation of China under Grant 62072351; in part by the ZheJiang Lab; in part by the Shaanxi Innovation Team Project under Grant 2018TD-007; and in part by the 111 Project under Grant B16037. Publisher Copyright: © 2022 Association for Computing Machinery.
Keywords
5G positioning, location-based service, secret sharing
Other note
Citation
Yan , Z , Qian , X , Liu , S & Deng , R 2022 , ' Privacy Protection in 5G Positioning and Location-based Services Based on SGX ' , ACM Transactions on Sensor Networks , vol. 18 , no. 3 , 41 . https://doi.org/10.1145/3512892