• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Enhancing Location Privacy through P2P Network and Caching in Anonymizer


Abstract

The fear that location privacy may be compromised greatly hinders the development of location-based service. Accordingly, some schemes based on the distributed architecture in peer-to-peer network for location privacy protection are proposed. Most of them assume that mobile terminals are mutually trusted, but this does not conform to realistic scenes, and they cannot make requirements for the level of location privacy protection. Therefore, this paper proposes a scheme for location attribute-based security authentication and private sharing data group, so that they trust each other in peer-to-peer network and the trusted but curious mobile terminal cannot access the initiator's query request. A new identifier is designed to allow mobile terminals to customize the protection strength. In addition, the caching mechanism is introduced considering the cache capacity, and a cache replacement policy based on deep reinforcement learning is proposed to reduce communications with location-based service server for achieving location privacy protection. Experiments show the effectiveness and efficiency of the proposed scheme.


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Cite this article

[IEEE Style]
P. Liu, S. Xie, Z. Shen and H. Wang, "Enhancing Location Privacy through P2P Network and Caching in Anonymizer," KSII Transactions on Internet and Information Systems, vol. 16, no. 5, pp. 1653-1670, 2022. DOI: 10.3837/tiis.2022.05.013.

[ACM Style]
Peiqian Liu, Shangchen Xie, Zihao Shen, and Hui Wang. 2022. Enhancing Location Privacy through P2P Network and Caching in Anonymizer. KSII Transactions on Internet and Information Systems, 16, 5, (2022), 1653-1670. DOI: 10.3837/tiis.2022.05.013.

[BibTeX Style]
@article{tiis:25675, title="Enhancing Location Privacy through P2P Network and Caching in Anonymizer", author="Peiqian Liu and Shangchen Xie and Zihao Shen and Hui Wang and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2022.05.013}, volume={16}, number={5}, year="2022", month={May}, pages={1653-1670}}