A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Ahmed, Nadeem; Deng, Zhongliang; Memon, Imran; Hassan, Fayaz; Mohammadani, Khalid Hussain; Iqbal, Rizwan

doi:10.1155/2022/6503299

Cited by 25 publications

(16 citation statements)

References 94 publications

(105 reference statements)

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“…[17] Focus on ML and intelligent algorithms for Fingerprint-Based techniques [19] Overview of promising techniques based on visible light [15] RF-based localization in Smart Cities scenarios 2021 [16] GNSS-free outdoor localization techniques [12] Comparative analysis based on different performance parameters [18] ML-based Wi-Fi RSS fingerprinting schemes and investigation of training datasets in the literature 2022 [20] In-depth analysis of LBSs, latest applications, and major vendor profiles [21] Focus on the strengths and weaknesses inherent in each localization technology and technique Threats models and solutions 2017 [22] Security and privacy for LBS from a technical and legal perspective 2020 [23] Advances in location privacy protection technology in the context of SIoV 2022 [24] Privacy attacks in location and corresponding solutions, with a focus on VANETs…”

Section: Areas Of Interest Year Reference Distinctive Characteristicsmentioning

confidence: 99%

Trustworthy Localization in IoT Networks: A Survey of Localization Techniques, Threats, and Mitigation

Pettorru,

Pilloni,

Martalò

2024

Sensors

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The Internet of Things (IoT) has revolutionized the world, connecting billions of devices that offer assistance in various aspects of users’ daily lives. Context-aware IoT applications exploit real-time environmental, user-specific, or situational data to dynamically adapt to users’ needs, offering tailored experiences. In particular, Location-Based Services (LBS) exploit geographical information to adapt to environmental settings or provide recommendations based on users’ and nodes’ positions, thus delivering efficient and personalized services. To this end, there is growing interest in developing IoT localization systems within the scientific community. In addition, due to the sensitivity and privacy inherent to precise location information, LBS introduce new security challenges. To ensure a more secure and trustworthy system, researchers are studying how to prevent vulnerabilities and mitigate risks from the early design stages of LBS-empowered IoT applications. The goal of this study is to carry out an in-depth examination of localization techniques for IoT, with an emphasis on both the signal-processing design and security aspects. The investigation focuses primarily on active radio localization techniques, classifying them into range-based and range-free algorithms, while also exploring hybrid approaches. Next, security considerations are explored in depth, examining the main attacks for each localization technique and linking them to the most interesting solutions proposed in the literature. By highlighting advances, analyzing challenges, and providing solutions, the survey aims to guide researchers in navigating the complex IoT localization landscape.

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Section: Areas Of Interest Year Reference Distinctive Characteristicsmentioning

confidence: 99%

Trustworthy Localization in IoT Networks: A Survey of Localization Techniques, Threats, and Mitigation

Pettorru,

Pilloni,

Martalò

2024

Sensors

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“…Beside the above discussed location privacy-preservation techniques, there are techniques proposed by researchers for preserving the query privacy and privacy for continuous queries scenarios considering vehicular/road networks. 48 Memon et al 49 have proposed a pseudonym Changing strategy with mix-zones-based authentication protocol for preserving the location privacy of road networks. Gustav et al 50 have introduced a velocity similarity anonymization technique for continuous query scenario.…”

Section: Dummy-generation Based Techniquesmentioning

confidence: 99%

Privacy‐preserving enhanced dummy‐generation technique for location‐based services

Parmar

Rao

2022

Concurrency and Computation

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Location-based services (LBS) has become an intrinsic part of our everyday life. However, the flexibility and convenience provided by LBS are at the cost of user privacy since untrusted LBS server can leak private information of users. To overcome the privacy issues observed in LBS, a novel dummy-generation based privacy preservation technique is proposed in this article. The proposed dummy-generation technique is a circle-based technique which generates dummy locations in the circle area and is effective against center-of-anonymized spatial region attack, map-matching attack, and location-homogeneity attack. Additionally, an edge computing enabled framework is proposed, which can be used in the IoT environment. The edge computing enabled framework helps in handling the resource poverty issues of the service requesting devices and provides the low latency solution. The security analysis of our proposed dummy-generation technique reflects that the proposed technique is resilient to specific attacks for different adversary attack models. The results obtained through simulations suggest that our technique performs better than the pre-existing techniques.

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“…However, preparing for effective security participation inside VANET modular activities can save many lives. An intelligent vehicular communication network, interpreting through Figure 1, or VANET, is a mobile ad-hoc platform that reduces traffic congestion and prevents vehicular media accidents [2,3,4]. Typically, VANET gives vehicle driving instruction in a practical setting.…”

Section: Introductionmentioning

confidence: 99%

A Review on VANET Security: Future Challenges and Open Issues

Mahi

Chaki

Humayun

et al. 2023

IJEEI

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Vehicular Adhoc Network (VANET) is an established technology that is well-suited for emerging technologies such as the Internet of Vehicles (IoV) and Unmanned Aerial Vehicles (UAVs). However, while VANET offers improved methods for addressing contemporary technology, it also presents significant challenges in providing adequate security measures for intended access. VANET operates on multiple execution platforms, such as roadside units, vehicle-tovehicle, vehicle-to-device, and vehicle-to-everything (V2X) communication. As a result, VANET must establish robust security measures for future purposes and strengthen protocol authentications to ensure secure data delivery and network-wide execution. In this work, we provide an overview of some of the recent security problems faced by VANET to raise awareness among developers and engineers about the specific security needs of VANET and how to avoid errors or intrusions when deploying VANETs in cities and urban areas. We cover topics such as the classification of security attacks, standard or security protocol problems and solutions, and the best feasible security criteria for extended VANETs. Finally, we discuss open issues and future VANET security developments or concerns.

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A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Cited by 25 publications

References 94 publications

Trustworthy Localization in IoT Networks: A Survey of Localization Techniques, Threats, and Mitigation

Trustworthy Localization in IoT Networks: A Survey of Localization Techniques, Threats, and Mitigation

Privacy‐preserving enhanced dummy‐generation technique for location‐based services

A Review on VANET Security: Future Challenges and Open Issues

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