Detecting Sybil Attacks Using Proofs of Work and Location in VANETs

Baza, Mohamed; Nabil, Mahmoud; Mahmoud, Mohamed; Bewermeier, Niclas; Fidan, Kemal; Alasmary, Waleed; Abdallah, Mohamed

doi:10.1109/tdsc.2020.2993769

Cited by 73 publications

(52 citation statements)

References 36 publications

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“…Moreover, Sybil attacks can be used to launch DDoS attacks by exploiting multiple Sybil nodes to flood the target with massive illegitimate traffic to paralyze the whole system functionalities. According to Baza et al, [118], several solutions to detect Sybil attacks have failed since they suffer from technical limitations. For example, (a) identity registration based techniques [129], [130] fail when the attacker pretends multiple identities; (b) position verification-based schemes [131] fail because of the high mobility of vehicles; (c) trajectory-based schemes [132] fail when the attacker succeeds in compromising an RSUs and thus can get a large number of valid trajectories.…”

Section: C: Malware Attackmentioning

confidence: 99%

“…For example, (a) identity registration based techniques [129], [130] fail when the attacker pretends multiple identities; (b) position verification-based schemes [131] fail because of the high mobility of vehicles; (c) trajectory-based schemes [132] fail when the attacker succeeds in compromising an RSUs and thus can get a large number of valid trajectories. In this context, the authors in [118] propose a novel detection technique, using proof of work and location in VANET, which shows a high level of performance with acceptable overhead. Wormhole attacks can severely affect routing protocols without being detected since the attacker can function as a legitimate node [119].…”

Section: C: Malware Attackmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on the Current Security Landscape of Intelligent Transportation Systems

Lamssaggad¹,

Benamar²,

Hafid³

et al. 2021

IEEE Access

111

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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: C: Malware Attackmentioning

confidence: 99%

Section: C: Malware Attackmentioning

confidence: 99%

A Survey on the Current Security Landscape of Intelligent Transportation Systems

Lamssaggad¹,

Benamar²,

Hafid³

et al. 2021

IEEE Access

111

View full text Add to dashboard Cite

show abstract

“…They also verified the security of their proposed scheme using ProVerif and AVISPA. Later on, some new blockchain based authentication schemes have been proposed [26], [27], [28], [29], [30]. Besides, the protocols of [31], [32], [33], [34], [35], [36], [37], [38], [39], [40] have more computational overhead.…”

Section: Related Workmentioning

confidence: 99%

AMAPG: Advanced Mobile Authentication Protocol for GLOMONET

et al. 2021

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“…We follow the same methodology used in [47]- [50] to analyze the security and privacy of our system. We also follow the widely used approach for analyzing security of networks and systems [51], [52].…”

Section: Evaluations a Security And Privacy Analysismentioning

confidence: 99%

Smart Parking System With Privacy Preservation and Reputation Management Using Blockchain

et al. 2020

Self Cite

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Most of the existing smart parking systems threaten the drivers' privacy by revealing information about their visited locations. Moreover, they are centralized making them vulnerable to a single point of failure and attack, which threatens the availability of the parking service. They also suffer from a lack of transparency, where the centralized service organizer may favor some parking lots by booking their parking slots first. To tackle these concerns, we propose a blockchain-based smart parking system with privacy preservation and reputation management. In our system, a consortium blockchain is created by different parking lots to run the parking system securely and transparently, where the parking offers are recorded on a shared and immutable ledger. We use a commitment technique during the submission of the offers to ensure fair parking rates. Then, we use a private information retrieval technique during the offers retrieval to preserve the drivers' location privacy. Furthermore, to anonymously and efficiently authenticate drivers during the reservation process, we use a short randomizable signature. We also use a time-locked anonymous payment technique to discourage drivers from not committing to their parking reservations and provide a secure and privacy-preserving payment method for parking service. Finally, we integrate a blockchain-based anonymous reputation management scheme into our system, where drivers can anonymously rate the parking service to ensure high quality of service. Our evaluations demonstrate that our smart parking system is secure and capable of preserving drivers' privacy with low communication, computation, and storage overheads.

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Detecting Sybil Attacks Using Proofs of Work and Location in VANETs

Cited by 73 publications

References 36 publications

A Survey on the Current Security Landscape of Intelligent Transportation Systems

A Survey on the Current Security Landscape of Intelligent Transportation Systems

AMAPG: Advanced Mobile Authentication Protocol for GLOMONET

Smart Parking System With Privacy Preservation and Reputation Management Using Blockchain

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