A Survey on Privacy-Preserving Authentication Schemes in VANETs: Attacks, Challenges and Open Issues

Jan, Sagheer Ahmed; Amin, Noor Ul; Othman, Мohamed; Ali, Mazhar; Umar, Arif Iqbal; Basir, Abdul

doi:10.1109/access.2021.3125521

Cited by 33 publications

(16 citation statements)

References 139 publications

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“…In the last years, several studies have been performed on secure authentication for air and ground ITS. In particular, three surveys, [19], [20], and [21] focus on privacy-preserving authentication for ITS and provide possible classifications. To order the related work, we adopt the first survey classification schema, where Jan et al identify different privacy-preserving method categories.…”

Section: A Privacy-preserving Schemas For Itsmentioning

confidence: 99%

“…As described in §II, our work can be classified in the Identity Based Authentication (IBA) category, where the identifier is derived from driver and vehicle information. For this reason, we compare our schema with the schemas of the same category as described in [19] and [21]. Our schema uses the ORE method to provide the service and it does not need any other operation, except for the message exchange.…”

Section: Privacy-preserving Schema Comparisonmentioning

confidence: 99%

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A Privacy-Preserving Solution for Intelligent Transportation Systems: Private Driver DNA

Costantino

Vincenzi

Martinelli

et al. 2023

IEEE Trans. Intell. Transport. Syst.

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The rising connection of vehicles with the road infrastructure enables the creation of data-driven applications to offer drivers customized services. At the same time, these opportunities require innovative solutions to protect the drivers' privacy in a complex environment like an Intelligent Transportation System (ITS). This need is even more relevant when data are used to retrieve personal behaviors or attitudes. In our work, we propose a privacy-preserving solution, called Private Driver DNA, which designs a possible architecture, allowing drivers of an ITS to receive customized services. The proposed solution is based on the concept of Driver DNA as characterization of driver's driving style. To assure privacy, we perform the operations directly on sanitized data, using the Order Revealing Encryption (ORE) method. Besides, the proposed solution is integrated with ITS architecture defined in the European project E-Corridor. The result is an effective privacy-preserving architecture for ITS to offer customized products, which can be used to address drivers' behaviors, for example, to environmental-friendly attitudes or a more safe driving style. We test Private Driver DNA using a synthetic dataset generated with the vehicle simulator CARLA. We compare ORE with another encryption method like Homomorphic Encryption (HE) and some other privacy-preserving schemas. Besides, we quantify privacy gain and data loss utility after the data sanitization process.

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Section: A Privacy-preserving Schemas For Itsmentioning

confidence: 99%

Section: Privacy-preserving Schema Comparisonmentioning

confidence: 99%

A Privacy-Preserving Solution for Intelligent Transportation Systems: Private Driver DNA

Costantino

Vincenzi

Martinelli

et al. 2023

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…Due to privacy-sensitive content, it is anticipated that the source [45] privacy of safety messages will become a major security risk in VANETs that protect privacy. Jan et al [46] proposed anonymous credentials, a security approach based on a pair of keys.…”

Section: Dynamic Vehicular Ad Hoc Network Security Enhancementsmentioning

confidence: 99%

“…We must develop an appropriate metric for evaluating the node-based trustworthiness of active VANET nodes. For confidence, we must examine and validate if a reliable count is scheduled as part of the essential message distribution plan for the roadside unit authorized center [20,26,46,47].…”

Section: Trust-based Secured Management In Vanetmentioning

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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“…If the driver of a vehicle is informed at least 1 or 2 s before a collision, almost 60% of road accidents can be prevented [14], and traffic jams can be avoided if we warn the driver just before taking the wrong turn.…”

Section: Motivationsmentioning

confidence: 99%

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

et al. 2022

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Connected vehicles are a vital part of smart cities, which connect over a wireless connection and bring mobile computation and communication abilities. As a mediator, fog computing resides between vehicles and the cloud and provides vehicles with processing, storage, and networking power through Vehicular Ad-hoc networks (VANET). VANET is a time-sensitive technology that requires less time to process a request received from a vehicle. Delay and latency are the notorious issues of VANET and fog computing. To deal with such problems, in this work, we developed a priority-based fog computing model for smart urban vehicle transportation that reduces the delay and latency of fog computing. To upgrade the fog computing infrastructure to meet the latency and Quality of Service (QoS) requirements, 5G localized Multi-Access Edge Computing (MEC) servers have also been used, which resulted tremendously in reducing the delay and the latency. We decreased the data latency by 20% compared to the experiment carried using only cloud computing architecture. We also reduced the processing delay by 35% compared with the utilization of cloud computing architecture.

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A Survey on Privacy-Preserving Authentication Schemes in VANETs: Attacks, Challenges and Open Issues

Cited by 33 publications

References 139 publications

A Privacy-Preserving Solution for Intelligent Transportation Systems: Private Driver DNA

A Privacy-Preserving Solution for Intelligent Transportation Systems: Private Driver DNA

A Review on VANET Security: Future Challenges and Open Issues

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

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