SocialHide: A generic distributed framework for location privacy protection

Hwang, Ren-Hung; Hsueh, Yu-Ling; Wu, Jang-Jiin; Huang, Fu-Hui

doi:10.1016/j.jnca.2016.09.009

Cited by 11 publications

(8 citation statements)

References 21 publications

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“…e computation overhead of the scheme [31] is also high. Encryption-based technology is used by the scheme [32] in order to protect location privacy. However, the data utility is not guaranteed.…”

Section: Scheme Comparisonmentioning

confidence: 99%

Blockchain-Enabled Privacy-Preserving Location Sharing Scheme for LBSNs

Zhu

Liu

et al. 2021

Mobile Information Systems

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The rise of Internet of Things (IoT) technology promotes the rapid development of location services industry. The idea of smart connectivity also provides a new direction for Location-Based Social Networks (LBSNs). However, due to limited calculate ability and internal storage space of IoT devices, historical location data of users is generally stored in the central server, which is likely to cause the disclosure of users’ private data. In this paper, we propose a Blockchain-enabled Privacy-Preserving Location Sharing (B-PPLS) scheme, which is a new framework that not only protects user location privacy but also provides effective location sharing services for users. For B-PPLS, location data owners can share the location area instead of location coordinates to Requesters, in order to realize the location privacy preserving. Also, the Merkle hash tree is utilized to divide the location area, so as to realize the multilevel privacy preserving. Furthermore, four algorithms are proposed to achieve the four stages of initialization, location record, location sharing, and location verification, respectively. Finally, we analyze the security of the proposed B-PPLS scheme and compare the performance with other related location privacy-preserving schemes by experimental evaluation.

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Section: Scheme Comparisonmentioning

confidence: 99%

Blockchain-Enabled Privacy-Preserving Location Sharing Scheme for LBSNs

Zhu

Liu

et al. 2021

Mobile Information Systems

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“…However, these methods require users to provide a large storage space. Hwang et al [ 33 ] proposed a method that users can use the internet to obtain the actual location of construct an anonymous area. The above is to construct an anonymous area by finding collaborative users.…”

Section: Related Workmentioning

confidence: 99%

A Novel Location Privacy-Preserving Approach Based on Blockchain

Qiu

Liu

et al. 2020

Sensors

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Location-based services (LBS) bring convenience to people’s lives but are also accompanied with privacy leakages. To protect the privacy of LBS users, many location privacy protection algorithms were proposed. However, these algorithms often have difficulty to maintain a balance between service quality and user privacy. In this paper, we first overview the shortcomings of the existing two privacy protection architectures and privacy protection technologies, then we propose a location privacy protection method based on blockchain. Our method satisfies the principle of k-anonymity privacy protection and does not need the help of trusted third-party anonymizing servers. The combination of multiple private blockchains can disperse the user’s transaction records, which can provide users with stronger location privacy protection and will not reduce the quality of service. We also propose a reward mechanism to encourage user participation. Finally, we implement our approach in the Remix blockchain to show the efficiency, which further indicates the potential application prospect for the distributed network environment.

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“…System Model. At present, although there are many communication modes that are unsuitable for the central anonymous servers, current location privacy preserving schemes mainly adopt the central server mode [42,43]. Our scheme uses the classic central server mode, and the anonymous queries are processed through both the central anonymous servers and the LBS servers.…”

Section: Preliminariesmentioning

confidence: 99%

RPAR: Location Privacy Preserving via Repartitioning Anonymous Region in Mobile Social Network

Zhang

Yuan

Wang

et al. 2018

Security and Communication Networks

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Applying the proliferated location-based services (LBSs) to social networks has spawned mobile social network (MSN) services that allow users to discover potential friends around them. While enjoying the convenience of MSN services, the mobile users also are confronted with the risk of location disclosure, which is a severe privacy preserving concern. In this paper, we focus on the problem of location privacy preserving in MSN. Particularly, we propose a repartitioning anonymous region for location privacy preserving (RPAR) scheme based on the central anonymous location which minimizes the traffic between the anonymous server and the LBS server while protecting the privacy of the user location. Furthermore, our scheme enables the users to get more accurate query results, thus improving the quality of the location service. Simulation results show that our proposed scheme can effectively reduce the area of anonymous regions and minimize the traffic.

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SocialHide: A generic distributed framework for location privacy protection

Cited by 11 publications

References 21 publications

Blockchain-Enabled Privacy-Preserving Location Sharing Scheme for LBSNs

Blockchain-Enabled Privacy-Preserving Location Sharing Scheme for LBSNs

A Novel Location Privacy-Preserving Approach Based on Blockchain

RPAR: Location Privacy Preserving via Repartitioning Anonymous Region in Mobile Social Network

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