Privacy Preserving Scheme for Location Based Services Using Cryptographic Approach

Pu, Yuwen; Luo, Jin; Wang, Ying; Hu, Chunqiang; Huo, Yan; Zhang, Jiong

doi:10.1109/pac.2018.00022

Cited by 13 publications

(7 citation statements)

References 3 publications

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“…The researchers in [ 19 ] used a cryptographic technique to present a reliable and effective scheme for preserving location privacy. Because the identity of the user is hidden from the location-based service (LBS) provider and fog server, it can protect the user’s private information.…”

Section: Related Workmentioning

confidence: 99%

Location Privacy-Preserving Scheme in IoBT Networks Using Deception-Based Techniques

Alkanjr

Mahgoub

2023

Sensors

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The Internet of Battlefield Things (IoBT) refers to interconnected battlefield equipment/sources for synchronized automated decision making. Due to difficulties unique to the battlefield, such as a lack of infrastructure, the heterogeneity of equipment, and attacks, IoBT networks differ significantly from regular IoT networks. In war scenarios, real-time location information gathering is critical for combat effectiveness and is dependent on network connectivity and information sharing in the presence of an enemy. To maintain connectivity and guarantee the safety of soldiers/equipment, location information must be exchanged. The location, identification, and trajectory of soldiers/devices are all contained in these messages. A malicious attacker may utilize this information to build a complete trajectory of a target node and track it. This paper proposes a location privacy-preserving scheme in IoBT networks using deception-based techniques. Dummy identifier (DID), sensitive areas location privacy enhancement, and silence period concepts are used to minimize the attacker’s ability to track a target node. In addition, to consider the security of the location information, another security layer is proposed, which generates a pseudonym location for the source node to use instead of its real location when sending messages in the network. We develop a Matlab simulation to evaluate our scheme in terms of average anonymity and probability of linkability of the source node. The results show that the proposed method improves the anonymity of the source node. It reduces the attacker’s ability to link the old DID of the source node with its new DID. Finally, the results show further privacy enhancement by applying the sensitive area concept, which is important for IoBT networks.

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Section: Related Workmentioning

confidence: 99%

Location Privacy-Preserving Scheme in IoBT Networks Using Deception-Based Techniques

Alkanjr

Mahgoub

2023

Sensors

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“…A privacy-preserving method that can be applied both at server and user sides is the encryption of location data, via various encryption mechanisms [36][37][38]. Even if encryption/decryption costs are quite affordable by nowadays mobile devices and smartphones, the encryption/decryption studies for location privacy available in the current literature point out that a main drawback of this approach is the relatively high delay [37] introduced in the data encryption/decryption processes, delay which may be not tolerable for many proximity-based services.…”

Section: Classification Of Location-privacy Mechanismsmentioning

confidence: 99%

“…[ [36][37][38] Server-side k-anonymity/ Spatial cloaking Minimizes risks of re-identification of anonymized data; however, this approach is susceptible to privacy breaches, such as de-anonymization, in cases where the adversary has prior knowledge about individuals. To tackle the issue, such approaches as t-closeness and l-diversity were developed to augment the k-anonymity privacy protection [43,44].…”

Section: Communication Encryptionmentioning

confidence: 99%

Perturbed-Location Mechanism for Increased User-Location Privacy in Proximity Detection and Digital Contact-Tracing Applications

Lohan

Shubina

Niculescu

2022

Sensors

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Future social networks will rely heavily on sensing data collected from users’ mobile and wearable devices. A crucial component of such sensing will be the full or partial access to user’s location data, in order to enable various location-based and proximity-detection-based services. A timely example of such applications is the digital contact tracing in the context of infectious-disease control and management. Other proximity-detection-based applications include social networking, finding nearby friends, optimized shopping, or finding fast a point-of-interest in a commuting hall. Location information can enable a myriad of new services, among which we have proximity-detection services. Addressing efficiently the location privacy threats remains a major challenge in proximity-detection architectures. In this paper, we propose a location-perturbation mechanism in multi-floor buildings which highly protects the user location, while preserving very good proximity-detection capabilities. The proposed mechanism relies on the assumption that the users have full control of their location information and are able to get some floor-map information when entering a building of interest from a remote service provider. In addition, we assume that the devices own the functionality to adjust to the desired level of accuracy at which the users disclose their location to the service provider. Detailed simulation-based results are provided, based on multi-floor building scenarios with hotspot regions, and the tradeoff between privacy and utility is thoroughly investigated.

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“…For several objectives, such as discovering the closest required positions, relatives/friends, and wearable devices for positioning and administrating aims, Location‐based service (LBS) are getting vast attention [34]. However, several privacy concerns will be raised by location‐based services.…”

Section: Privacy In Mobile Generationsmentioning

confidence: 99%

A comprehensive review on the users’ identity privacy for 5G networks

et al. 2022

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Fifth Generation (5G) is the final generation in mobile communications, with minimum latency, high data throughput, and extra coverage. The 5G network must guarantee very good security and privacy levels for all users for these features. Therefore, researchers have deliberated the privacy and security solution of 5G users. The 5G wireless network offers a futuristic concept that helps to solve challenges affecting previous communications generations. The key concern to many scholars in the field of mobile networking is user privacy, which is long‐term subscription identifier as International Mobiles Subscribers Identifiers (IMSIs) and short‐term subscription identifier as Temporary Mobiles Subscribers Identifiers and Cell‐Radio Networks Temporary Identifiers (TMSIs and C‐RNTIs), which are used for permanent identifying, paging, and location update. This article investigates the existing literature survey about user privacy for 5G networks, which continues the identity and location privacy. Also, it discusses most of the studies that handle user identifications in authentication, paging, and location update. This article discusses the various privacy issues in the 5G network that use IMSI in clear text or temporary identities such as TMSI & C‐RNTI with IMSI to disclose user identity privacy. This article also investigates the existing literature on user identity and location privacy and highlights the key parameters, issues, challenges, and future recommendations with potential solutions.

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Privacy Preserving Scheme for Location Based Services Using Cryptographic Approach

Cited by 13 publications

References 3 publications

Location Privacy-Preserving Scheme in IoBT Networks Using Deception-Based Techniques

Location Privacy-Preserving Scheme in IoBT Networks Using Deception-Based Techniques

Perturbed-Location Mechanism for Increased User-Location Privacy in Proximity Detection and Digital Contact-Tracing Applications

A comprehensive review on the users’ identity privacy for 5G networks

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