Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service
The privacy leakage resulting from location-based service (LBS) has become a critical issue. To preserve user privacy, many previous studies have investigated to prevent LBS servers from user privacy theft. However, they only consider whether the peers are innocent or malicious but ignore the relati...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8468963/ |
| _version_ | 1818411412392771584 |
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| author | Konglin Zhu Wenke Yan Wenqi Zhao Liyang Chen Lin Zhang Eiji Oki |
| author_facet | Konglin Zhu Wenke Yan Wenqi Zhao Liyang Chen Lin Zhang Eiji Oki |
| author_sort | Konglin Zhu |
| collection | DOAJ |
| description | The privacy leakage resulting from location-based service (LBS) has become a critical issue. To preserve user privacy, many previous studies have investigated to prevent LBS servers from user privacy theft. However, they only consider whether the peers are innocent or malicious but ignore the relationship between the peers, whereas such a relationship between each pairwise of users affects the privacy leakage tremendously. For instance, a user has less concern of privacy leakage from a social friend than a stranger. In this paper, we study cyber-physical-social (CPS) aware method to address the privacy preserving in the case that not only LBS servers but also every other participant in the network has the probability to be malicious. Furthermore, by exploring the physical coupling and social ties among users, we construct CPS-aware privacy utility maximization (CPUM) game. We then study the potential Nash equilibrium of the game and show the existence of Nash equilibrium of CPUM game. Finally, we design a CPS-aware algorithm to find the Nash equilibrium for the maximization of privacy utility. Extensive evaluation results show that the proposed approach reduces privacy leakage by 50% in the case that malicious servers and users exist in the network. |
| first_indexed | 2024-12-14T10:31:00Z |
| format | Article |
| id | doaj.art-7e2b549241d44661a2be4d64f1ec1933 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:31:00Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7e2b549241d44661a2be4d64f1ec19332022-12-21T23:06:08ZengIEEEIEEE Access2169-35362018-01-016541675417610.1109/ACCESS.2018.28711588468963Cyber-Physical-Social Aware Privacy Preserving in Location-Based ServiceKonglin Zhu0https://orcid.org/0000-0001-7671-311XWenke Yan1Wenqi Zhao2Liyang Chen3Lin Zhang4Eiji Oki5School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaInternational School, Beijing University of Posts and Telecommunications, Beijing, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaGraduate School of Informatics, Kyoto University, Kyoto, JapanThe privacy leakage resulting from location-based service (LBS) has become a critical issue. To preserve user privacy, many previous studies have investigated to prevent LBS servers from user privacy theft. However, they only consider whether the peers are innocent or malicious but ignore the relationship between the peers, whereas such a relationship between each pairwise of users affects the privacy leakage tremendously. For instance, a user has less concern of privacy leakage from a social friend than a stranger. In this paper, we study cyber-physical-social (CPS) aware method to address the privacy preserving in the case that not only LBS servers but also every other participant in the network has the probability to be malicious. Furthermore, by exploring the physical coupling and social ties among users, we construct CPS-aware privacy utility maximization (CPUM) game. We then study the potential Nash equilibrium of the game and show the existence of Nash equilibrium of CPUM game. Finally, we design a CPS-aware algorithm to find the Nash equilibrium for the maximization of privacy utility. Extensive evaluation results show that the proposed approach reduces privacy leakage by 50% in the case that malicious servers and users exist in the network.https://ieeexplore.ieee.org/document/8468963/CPS-aware privacy utility maximizationlocation-based serviceprivacy leakage |
| spellingShingle | Konglin Zhu Wenke Yan Wenqi Zhao Liyang Chen Lin Zhang Eiji Oki Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service IEEE Access CPS-aware privacy utility maximization location-based service privacy leakage |
| title | Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service |
| title_full | Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service |
| title_fullStr | Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service |
| title_full_unstemmed | Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service |
| title_short | Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service |
| title_sort | cyber physical social aware privacy preserving in location based service |
| topic | CPS-aware privacy utility maximization location-based service privacy leakage |
| url | https://ieeexplore.ieee.org/document/8468963/ |
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