An Approach to Mitigate Black Hole Attacks on Vehicular Wireless Networks

Tobin, John J.; Thorpe, Christina; Murphy, Liam

doi:10.1109/vtcspring.2017.8108460

Cited by 23 publications

(16 citation statements)

References 13 publications

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“…Figure 4 compares the proposed method with the Tobin et al method in means of routing overhead. Tobin et al method [20] is based on the query from all intermediate nodes in the active route which implies a lot of overhead in the network. Whereas the proposed method has impressive overhead.…”

Section: Simulation Resultsmentioning

confidence: 99%

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A distributed trust mechanism for malicious behaviors in VANETs

Ahmed

Abdulwahed

Farzaneh

2020

IJEECS

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<p>Vehicular Ad-hoc Networks (VANETs) are one of the most important types of networks which are widely used in recent years. Along with all the benefits of Quality of Service (QoS) improvements, vulnerability analysis for this type of networks is an important issue. For instance, a Gray-hole attack decreases network performance. We proposed a novel solution to help to secure these networks against this vulnerability. The proposed method can detect and prevent the Gray-hole attack. Anywhere in the network, each node (vehicle) can distinguish between the Gray-hole attack and the failed link. Some topology related information helps us to detect attacks more accurately. Also, the proposed method uses the most reliable path in terms of link failure when there is no malicious node. In this paper, we used the TOPSIS method for choosing the most trusted node for routing intelligently. We validated our proposal using a simulation model in the NS-2 simulator. Simulation results show that the proposed method can prevent Gray-hole attack efficiently with low overhead.</p>

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Section: Simulation Resultsmentioning

confidence: 99%

“…In [20], by monitoring the network statistics, the target and source nodes detect and prevent Black-hole attacks. Although this method can detect a Black-hole attack after routing, it is not useful during routing.…”

Section: Research Backgroundmentioning

confidence: 99%

A distributed trust mechanism for malicious behaviors in VANETs

Ahmed

Abdulwahed

Farzaneh

2020

IJEECS

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“…The isolation of malicious nodes is more challenging, particularly in VANET. Tobin et al [110] develop a countermeasure for black hole attacks in VANET. The proposed solution focus on multiple steps consisting of (a) attack detection through route backtracking and detecting discrepancies; (b) node accusation; and (c) blacklisting malicious nodes from participating in the network.…”

Section: B: Black Hole Attacksmentioning

confidence: 99%

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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“…This solution was a multi-step process consisting of attack detection, node accusation, and malicious node blacklisting. 17 The system assigned a unique identifier to each vehicle through electronic vehicle identifier (EVI) that made each vehicle incapable of spoofing. RoselinMary et al 18 suggested an attack packet detection algorithm (APDA) for detecting denial-of-service (DOS) attacks in a VANET.…”

Section: Related Workmentioning

confidence: 99%

A secure message-passing framework for inter-vehicular communication using blockchain

Hassan

Habiba²,

Ghani

et al. 2019

International Journal of Distributed Sensor Networks

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Due to exponential growth in the daily usage of vehicles, the traffic congestion and roadside accidents are increasing day by day. The communication among vehicles is critical to avoid the emergencies and to address the issue of congestion of vehicles. Internet of vehicles provides the communication channel between the vehicles, but existing solutions require a centralized communication system to distribute the message and to authenticate the source. This centralized infrastructure is subject to disturb the vehicular communication in case of server breakdown or due to any natural disaster where hardware stops working. Also, the centralized system proves to be costly as the communication of each vehicle necessitates access to the central server resulting in the more resource requirement. A secure distributed system is required to avoid the emergencies and reduce the traffic rate. To address the issues, we proposed a secure distributed messagepassing framework that does not require a centralized server, and it rates the credibility of message source using blockchain technology. The messages in the proposed system are forwarded through dedicated short-range communication protocol. To validate the proposed system, we have performed different simulations using SUMO, OMNET, and VEINS. The results demonstrated an increase in the average speed of vehicles that showed a reduced congestion rate. Moreover, our system identified the malicious vehicles with 77.1% accuracy.

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An Approach to Mitigate Black Hole Attacks on Vehicular Wireless Networks

Cited by 23 publications

References 13 publications

A distributed trust mechanism for malicious behaviors in VANETs

A distributed trust mechanism for malicious behaviors in VANETs

A Survey on the Current Security Landscape of Intelligent Transportation Systems

A secure message-passing framework for inter-vehicular communication using blockchain

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