A Novel Personalized TTP-free Location Privacy Preserving Method

Yang, Nanying; Cao, Yuru; Liu, Qing; Zheng, Jiming

doi:10.14257/ijsia.2014.8.2.39

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…As far as AS is concerned, it can obtain user ID and grid offset information H'={(c1,r1),(c2,r2)}. According to the grid offset information, AS cannot directly know user's location information, only the user's id and the relative grid coordinates of the basic grid G. If the AS maliciously acquires the basic grid G, because the user offsets the location and sends it to the AS in a rectangular area, the user can be in any grid point, so the probability that the AS can identify the user's location is (5) When the basic grid is divided more finely, that is, the smaller the r, the larger the anonymous area generated by the user is than MinArea, the attacker needs more cost to identify the exact location of users.…”

Section: Safety Analysismentioning

confidence: 99%

“…In the distributed Point-To-Point scheme, user can search neighboring users by multi-hop communication [5], collecting the location information of neighboring users to construct anonymous regions. After searching other users by multi-hop communication, use also can continues the process of anonymity with the continuous transmission of request [6], so as to finally achieve the purpose of constructing anonymity, which can achieve anonymity as well as allocate consumed time to other adjacent users;…”

Section: Introductionmentioning

confidence: 99%

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Decentralized Location Privacy Protection Method of Offset Grid

Ling¹,

Xu²

2019

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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Location services bring convenience to people's lives, but also easily lead to the disclosure of personal privacy information. Many location privacy protection methods are based on trusted anonymous servers, but in real life, the anonymous servers are not trusted. This paper proposes a decentralized location privacy protection method of offset grid for untrusted anonymous servers. The method divides the location area into grids, and the user calculates the offset grid area according to the periodically updated grid information and sends the offset grid area to the anonymous server. The anonymous server selects K-1 distributed grid coordinates according to the history of other user's query, the anonymous grid points set satisfies the multi-diversity. The method in this paper has lower time overhead while protecting user privacy information, and the location distribution of anonymous location sets is more decentralized. Experiments were carried out on the simulated data set. The experimental results verify the effectiveness of the method.

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Section: Safety Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Decentralized Location Privacy Protection Method of Offset Grid

Ling¹,

Xu²

2019

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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“…All peers work collaboratively to achieve privacy among untrusted entities. Various algorithms are already proposed as Solanas & Balleste, Rebollo-Monedero, Ardagna etal, Etc [3][4][5][6][7][8][9]. The advantage of this approach is that it does not rely on TTP, it is distributed and also guarantees user's privacy.…”

Section: ) Location Privacymentioning

confidence: 99%

Decentralized collaborative TTP free approach for privacy preservation in location based services

Rathod¹,

Shah²,

Jariwala³

2019

IJECE

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In recent trends, growth of location based services have been increased due to the large usage of cell phones, personal digital assistant and other devices like location based navigation, emergency services, location based social networking, location based advertisement, etc. Users are provided with important information based on location to the service provider that results the compromise with their personal information like user’s identity, location privacy etc. To achieve location privacy of the user, cryptographic technique is one of the best technique which gives assurance. Location based services are classified as Trusted Third Party (TTP) & without Trusted Third Party that uses cryptographic approaches. TTP free is one of the prominent approach in which it uses peer-to-peer model. In this approach, important users mutually connect with each other to form a network to work without the use of any person/server. There are many existing approaches in literature for privacy preserving location based services, but their solutions are at high cost or not supporting scalability. In this paper, our aim is to propose an approach along with algorithms that will help the location based services (LBS) users to provide location privacy with minimum cost and improve scalability.

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