Decentralized and Scalable Privacy-Preserving Authentication Scheme in VANETs

Tangade, Shrikant S.; Manvi, Sunilkumar S.; Lorenz, Pascal

doi:10.1109/tvt.2018.2839979

Cited by 89 publications

(23 citation statements)

References 22 publications

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“…Tangade et al [135] propose a Decentralized and Scalable Privacy Preserving Authentication (DSPA) scheme that enjoys the benefits of both asymmetric Identity-Based (IDbased) authentication and the Symmetric Hash Message Authentication Code (HMAC). Indeed, DSPA allows reducing communication and computation overheads.…”

Section: Fast Verification Of Certificates and Signaturesmentioning

confidence: 99%

A Survey on the Current Security Landscape of Intelligent Transportation Systems

Lamssaggad¹,

Benamar²,

Hafid³

et al. 2021

IEEE Access

112

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With the proliferation of embedded technologies and wireless capabilities, today's vehicles are no longer isolated mechanical machines. They become part of a hyper-connected system-Intelligent Transportation Systems (ITS)-that has the potential to support multiple levels of autonomy and intelligence improving considerably the safety, efficiency, and sustainability of transportation networks. However, this raises new security issues that make the whole system prone to cybersecurity attacks that threaten both the safety and privacy of all road-users. This paper gives a short background tutorial on the main security issues and the different attacks that hinder Intelligent Transport Systems. To enable secure and safe ITS applications, this paper provides a comprehensive analysis of existing solutions and highlights their strengths and limitations. Finally, this survey presents key challenges in the field, and discusses recent trends that must be factored in by researchers, implementers, and car manufactures to improve the security of ITS.

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Section: Fast Verification Of Certificates and Signaturesmentioning

confidence: 99%

A Survey on the Current Security Landscape of Intelligent Transportation Systems

Lamssaggad¹,

Benamar²,

Hafid³

et al. 2021

IEEE Access

112

View full text Add to dashboard Cite

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“…Such solutions may call for more expensive cryptographic operations, e.g., bilinear pairings [21], which are a building block for group and identity-based signatures. Group signatures, which stay at the core of our proposal, have been also explored by numerous works, e.g., [22][23][24][25][26]. It is commonly recognized that such signatures are beneficial in preserving the anonymity of group members.…”

Section: Related Workmentioning

confidence: 99%

“…For the same reasons, Wasef and Shen [23,24] use batch verification, while their proposal still makes use of bilinear pairings. The work in [26] seems largely based on symmetric cryptography.…”

Section: Related Workmentioning

confidence: 99%

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Kolumban-Antal

Lasak

Bogdan

et al. 2020

Sensors

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Air quality in urban environments has become a central issue of our present society as it affects the health and lives of the population all over the world. The first step in mitigating negative effects is proper measurement of the pollution level. This work presents a portable air pollution measurement system, built from off-the-shelf devices, that is designed to assure user privacy and data authenticity. Data is collected from sensor modules that can be hand carried or installed on vehicles, possibly leading to a vehicular sensor network that may cover a larger area. The main challenge is to provide authenticity for the sensor data while also ensuring user privacy. The proposed system assures authenticity and non-repudiation for the collected data by using group signatures and a blockchain-like structure for secure storage. We use regular key-exchange protocols based on elliptic curve cryptography in order to securely bootstrap a session key, then we benefit from secure tunneling to export data from sensors to the remote server. Post-update tampering is prevented by the use of a blockchain-like structure on the data server. We carry experiments both to determine the computational requirements of the procedures, as well as to measure indicators of air quality on nearby areas.

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“…Fog computing is used to store the network data and to reutilize it to accelerate network performance. In [26], the authors introduced fog computing to extend cloud computing in the context of the middle fog layer among cloud and mobile devices and produce various benefits. The authors utilized a key sharing mechanism for secure transmissions.…”

Section: Securing Vanets-fog Centric Distributed Architecturementioning

confidence: 99%

Secure Intelligent Vehicular Network Using Fog Computing

Erskine

Elleithy

2019

Electronics

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VANET (vehicular ad hoc network) has a main objective to improve driver safety and traffic efficiency. The intermittent exchange of real-time safety message delivery in VANET has become an urgent concern due to DoS (denial of service) and smart and normal intrusions (SNI) attacks. The intermittent communication of VANET generates huge amount of data which requires typical storage and intelligence infrastructure. Fog computing (FC) plays an important role in storage, computation, and communication needs. In this research, fog computing (FC) integrates with hybrid optimization algorithms (OAs) including the Cuckoo search algorithm (CSA), firefly algorithm (FA), firefly neural network, and the key distribution establishment (KDE) for authenticating both the network level and the node level against all attacks for trustworthiness in VANET. The proposed scheme is termed “Secure Intelligent Vehicular Network using fog computing” (SIVNFC). A feedforward back propagation neural network (FFBP-NN), also termed the firefly neural, is used as a classifier to distinguish between the attacking vehicles and genuine vehicles. The SIVNFC scheme is compared with the Cuckoo, the FA, and the firefly neural network to evaluate the quality of services (QoS) parameters such as jitter and throughput.

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Decentralized and Scalable Privacy-Preserving Authentication Scheme in VANETs

Cited by 89 publications

References 22 publications

A Survey on the Current Security Landscape of Intelligent Transportation Systems

A Survey on the Current Security Landscape of Intelligent Transportation Systems

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Secure Intelligent Vehicular Network Using Fog Computing

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