A survey of the current trends of privacy techniques employed in protecting the Location privacy of users in LBSs

Albelaihy, Abdullah; Cazalas, Jonathan

doi:10.1109/anti-cybercrime.2017.7905256

Cited by 8 publications

(7 citation statements)

References 16 publications

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“…A. Albelaihy and others have presented survey on recent development of location privacy. Even if comparison is done, but there is absence of realization of techniques [21]. We found our self on right track to consider and implement idea of modified and enhanced cloaking.…”

Section: Related Workmentioning

confidence: 99%

Design and Analysis of DKRINGA Protocol for Location Privacy in Trusted Environment

Jagdale¹,

Bakal²

2017

IJSPTM

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Section: Related Workmentioning

confidence: 99%

Design and Analysis of DKRINGA Protocol for Location Privacy in Trusted Environment

Jagdale¹,

Bakal²

2017

IJSPTM

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“…While in [30], presented a survey of the current trends of privacy methods used to protect users that had used LBSs. This paper showed the effectiveness, or lack thereof, of each technique showcased in this paper.…”

Section: Related Workmentioning

confidence: 99%

BLOT: A Novel Phase Privacy Preserving Framework for Location-Based Services

Albelaihy¹,

Cazalas²,

Thayananthan³

2018

ijacsa

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The inherent challenge within the domain of location-based services is finding a delicate balance between user privacy and the efficiency of answering queries. Inevitably, security issues can and will arise as the server must be informed about the query location in order to provide accurate responses. Despite the many security advancements in wireless communication, servers may become jeopardized or become infected with malicious software. That said, it is possible to ensure queries do not generate fake responses that appear real; in fact, if a fake response is used, mechanisms can be employed for the user to identify the query's authenticity. Towards this end, the paper propose BLoom Filter Oblivious Transfer (BLOT), a novel phase privacy preserving framework for LBS that combines a Bloom filter hash function and the oblivious transfer protocol. These methods are shown to be useful in securing a user's private information. An analysis of the results revealed that BLOT performed markedly better and enhanced entropy when compared to referenced approaches.

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“…What is worse, once the LBS provider is hacked, the adversary would get the uploaded information of users. The leakage of location privacy has become an issue that cannot be ignored [8]. In 2017, the records of global data leakage and theft reached 1.6 billion, causing huge economic losses and causing consumers' extreme concerns about privacy.…”

Section: Introductionmentioning

confidence: 99%

A Road Truncation-Based Location Privacy-Preserving Method against Side-Weight Inference Attack

et al. 2022

Applied Sciences

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Taking advantage of precise positioning technology, location-based service (LBS) has brought a lot of convenience to people’s daily life and made the city smarter. However, the LBS applications also bring some challenges to personal location privacy protection. In order to obtain services from LBS providers, users have to upload their queries including sensitive information, such as identities and locations. This information may be leaked out by the LBS providers or even eavesdropped on by malicious adversaries, which may cause privacy leakage. To tackle this problem, many solutions have been investigated under the assumption that users are uniformly distributed. However, the users are not always uniformly distributed in real-world situations. For a side-weight inference attack, the adversary would infer that the target user is more likely to belong to the road section with more users, resulting in performance deterioration. In this paper, we investigate the issue of location privacy preservation against side-weight inference attack for non-uniform distributed road network. Meanwhile, we consider the cost function of LBS and formulate the object as a mixed integer programming problem. Then, we propose a road truncation-based scheme to protect location privacy. The road section with high user density is designed to be truncated. Finally, simulation results show that our scheme meets the demand for privacy protection at a low cost. As a result, our scheme is proven to protect users’ location privacy effectively and efficiently.

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A survey of the current trends of privacy techniques employed in protecting the Location privacy of users in LBSs

Cited by 8 publications

References 16 publications

Design and Analysis of DKRINGA Protocol for Location Privacy in Trusted Environment

Design and Analysis of DKRINGA Protocol for Location Privacy in Trusted Environment

BLOT: A Novel Phase Privacy Preserving Framework for Location-Based Services

A Road Truncation-Based Location Privacy-Preserving Method against Side-Weight Inference Attack

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