Prophet: A Context-Aware Location Privacy-Preserving Scheme in Location Sharing Service

Qu, Jiaxing; Zhang, Guoyin; Fang, Zhou

doi:10.1155/2017/6814832

Cited by 5 publications

(5 citation statements)

References 31 publications

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“…To obtain the other party's position, currently, there are mainly two solutions: (1) Waiting for response: With the help of indoor positioning techniques [2] and location sharing services [3], one could share its location to the other and wait for the response. However, that relies heavily on the responder being able to respond to this kind of location sharing.…”

Section: Related Workmentioning

confidence: 99%

“…Providing services by positioning and location sharing, the LBS server returns the LBS requestor the point of interest (POI) according to the request containing the requestor's location and services of interest. Over the years, researchers have proposed various indoor navigation methods to find a certain POI [2][3][4][5]. While, we propose the location paging and answering service (LPAS) for finding out someone in an indoor environment, especially when he is out of contact.…”

Section: Introductionmentioning

confidence: 99%

“…ALGORITHM3 The Procedures of a party in a BILPAS Session Input: UserId of this party, id ; 1: Initialize From = null ; To = null ; Seq = 1; K = null ; 2: function SENDAKEYAGRSeq, id , id to , sessionid…”

mentioning

confidence: 99%

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Blockchain‐based indoor location paging and answering service with truncated‐geo‐indistinguishability

Yang

Liu

et al. 2021

IET Blockchain

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Indoor location-based services have numerous applications built on indoor navigation. Over the years, researchers have proposed various indoor navigation methods to find a certain point of interest. This paper proposes location paging and answering service (LPAS) for finding out someone in an indoor environment . However, it may face serious problems of privacy disclosure of the clients' indoor location data . To ensure security, privacy and convenience, the authors leverage blockchain to model the indoor environment, and build blockchain-based indoor LPAS (BILPAS) on blockchain by embedding our three-way-handshake Diffie-Hellman Key Agreement procedures. Our BIL-PAS can automatically establish a secure and privacy communication tunnel between any two users, thus greatly liberating participants from unnecessary self-determining interactions . On the premise that the certain person can also be found, the authors introduce Truncated-Geo-Indistinguishability (TGeoI) to perturb the actual location within a limited, valid, user-defined distance, thereby allowing users to obtain reasonable location privacy. The authors have put a strong emphasis in the formal treatment of the reasonable privacy guarantees, giving a rigorous definition of TGeoI and providing a comparison with Geo-Indistinguishability that the authors' method satisfies such property. Then, the authors present the BILPAS prototype and implement it on Hyperledger Fabric. Finally, the authors conduct the security and privacy analysis and evaluate the time performance. The experiment results validate the reasonable privacy, high security and convenience of the authors' framework.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Blockchain‐based indoor location paging and answering service with truncated‐geo‐indistinguishability

Yang

Liu

et al. 2021

IET Blockchain

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“…A Content Concealed Bottle mechanism has also been proposed to maintain privacy in LBS systems [29], and this has three main categories, i.e., (1) a secure matching stage, (2) a Euclidean distance computation, and (3) a private point of interest (POI) retrieval stage. The user generates a vector attribute query which is compared with existing saved vectors in the database server, and the protocol of the Euclidean distance computation finds the difference between the two parameters.…”

Section: B Related Workmentioning

confidence: 99%

HBLP: A Privacy Protection Framework for TIP Attributes in NTTP-Based LBS Systems

2020

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Nowadays, location-based services are being widely popularized due to their massive usage in current and emerging technologies. These services are based on searching out areas of interest which are likely to be accessed by users. Despite helping users worldwide, Location Based Services (LBSs) Systems endanger users' privacy because a user must provide personal information in order to use the services. Users thus become easy prey for assailants to access their social and personal lives. This problem is a giant issue for contemporary technologies because they are increasingly being used with the passage of time. Many existing solutions have attempted to resolve the challenges, but they face some serious dilemmas regarding the preservation of privacy. In order to address the privacy challenges in LBS systems, in this paper we have introduced a new Hierarchy Based Location Privacy (HBLP) model that protects the user's privacy, including the user's query time and identity and location information. The proposed model protects the user's privacy by using pseudo identity exchange, an aggregation protocol, and the concepts of Forest User (FU), Tree User (TU), and Child Users (CU) with k-anonymity and t-closeness, which is a reasonable combination for privacy provision for a user's query time, identity, and location. In order to evaluate the privacy protection level, we implemented the HBLP model in a Riverbed (Opnet) simulation and compared the results with existing state-of-the-art privacy-provisioning methods. The results showed that HBLP protected all the privacy attributes when a user interacts with an LBS system. INDEX TERMS Location based services, user privacy, NTTP, point of interest.

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“…We shall call this method as the Double Cache Approach (DCA) and demonstrate the capabilities of that DCA to protect the patient location from malicious SP without effecting the quality of services. It should be noted the other known methods as those discussed in [43][44][45][46] cannot protect the privacy of A from B or SP. In reality, DCA can be seen as an enhancement of the P2PCache and removes the following anomalies of [23]:…”

Section: Double Cache Approach (Dca)mentioning

confidence: 99%

Double Cache Approach with Wireless Technology for Preserving User Privacy

Sen

Eassa

Yamin

et al. 2018

Wireless Communications and Mobile Computing

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Several methods use cache for decreasing the number of connections to protect privacy of user data and improve performance in Location Based Services (LBS). Many of these methods require users to trust other users or third parties, which could be servers. An intruder could be disguised as a user or a third party. In this article, we propose a new method, known as “Double Cache Approach”, which uses a pair of caches to reduce the vulnerability of trust between users or third party and offers a vast improvement in privacy and security of user data in healthcare and other applications that use LBS. This approach divides the area into many cells and manages the cooperation among users within two caches at the access point with wireless communication. To demonstrate the superiority, we also provide simulation results of user queries, comparing the proposed method with those using only one cache. We believe that our approach would solve the trust problem optimally, achieve a comprehensive protection for users’ data, and enhance the privacy and security levels.

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Prophet: A Context-Aware Location Privacy-Preserving Scheme in Location Sharing Service

Cited by 5 publications

References 31 publications

Blockchain‐based indoor location paging and answering service with truncated‐geo‐indistinguishability

Blockchain‐based indoor location paging and answering service with truncated‐geo‐indistinguishability

HBLP: A Privacy Protection Framework for TIP Attributes in NTTP-Based LBS Systems

Double Cache Approach with Wireless Technology for Preserving User Privacy

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