Cybersecurity Attacks in Vehicle-to-Infrastructure Applications and Their Prevention

Islam, Mhafuzul; Chowdhury, Mashrur; Li, Hongda; Hu, Hongxin

doi:10.1177/0361198118799012

Cited by 29 publications

(9 citation statements)

References 21 publications

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“…This study adopted a security module for access control and credential management following the SCMS. The application security management is adopted based on security policies developed by Islam et al ( 18 ). Although this study considered the access control and credential management, and application security, the network security is not a focus of this study.…”

Section: Related Workmentioning

confidence: 99%

Development and Performance Evaluation of a Connected Vehicle Application Development Platform

Islam

Rahman

Khan

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Connected vehicle (CV) application developers need a development platform to build, test, and debug real-world CV applications, such as safety, mobility, and environmental applications, in edge-centric cyber-physical system (CPS). The objective of this paper is to develop and evaluate a scalable and secure CV application development platform (CVDeP) that enables application developers to build, test, and debug CV applications in real-time while meeting the functional requirements of any CV applications. The efficacy of the CVDeP was evaluated using two types of CV applications (one safety and one mobility application) and they were validated through field experiments at the South Carolina Connected Vehicle Testbed (SC-CVT). The analyses show that the CVDeP satisfies the functional requirements in relation to latency and throughput of the selected CV applications while maintaining the scalability and security of the platform and applications.

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Section: Related Workmentioning

confidence: 99%

Development and Performance Evaluation of a Connected Vehicle Application Development Platform

Islam

Rahman

Khan

et al. 2020

Transportation Research Record: Journal of the Transportation R

Self Cite

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“…Islam et al [14] propose a distributed DoS (DDoS) attack detection and prevention scheme called CVGuard in a V2I environment that uses a software-defined network (SDN), network functions virtualization (NFV), and edge computing. There are two parts of this scheme called micro box and CVGuard controller.…”

Section: Intrusion Detection Systemsmentioning

confidence: 99%

Central Aggregator Intrusion Detection System for Denial of Service Attacks

Ahmad¹,

Raza²,

Jamal³

et al. 2023

Computers, Materials &Amp; Continua

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Vehicle-to-grid technology is an emerging field that allows unused power from Electric Vehicles (EVs) to be used by the smart grid through the central aggregator. Since the central aggregator is connected to the smart grid through a wireless network, it is prone to cyber-attacks that can be detected and mitigated using an intrusion detection system. However, existing intrusion detection systems cannot be used in the vehicle-to-grid network because of the special requirements and characteristics of the vehicle-to-grid network. In this paper, the effect of denial-of-service attacks of malicious electric vehicles on the central aggregator of the vehicle-to-grid network is investigated and an intrusion detection system for the vehicle-to-grid network is proposed. The proposed system, central aggregator-intrusion detection system (CA-IDS), works as a security gateway for EVs to analyze and monitor incoming traffic for possible DoS attacks. EVs are registered with a Central Aggregator (CAG) to exchange authenticated messages, and malicious EVs are added to a blacklist for violating a set of predefined policies to limit their interaction with the CAG. A denial of service (DoS) attack is simulated at CAG in a vehicle-to-grid (V2G) network manipulating various network parameters such as transmission overhead, receiving capacity of destination, average packet size, and channel availability. The proposed system is compared with existing intrusion detection systems using different parameters such as throughput, jitter, and accuracy. The analysis shows that the proposed system has a higher throughput, lower jitter, and higher accuracy as compared to the existing schemes.

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“…In [25], the authors assumed that connected vehicles are similar to all the Internet devices and cyber security should be considered as a fundamental part of their development.…”

Section: Related Workmentioning

confidence: 99%

Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles

Meng

2020

Journal of Advanced Transportation

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CAV (connected and autonomous vehicle) is a crucial part of intelligent transportation systems. CAVs utilize both sensors and communication components to make driving decisions. A large number of companies, research organizations, and governments have researched extensively on the development of CAVs. The increasing number of autonomous and connected functions however means that CAVs are exposed to more cyber security vulnerabilities. Unlike computer cyber security attacks, cyber attacks to CAVs could lead to not only information leakage but also physical damage. According to the UK CAV Cyber Security Principles, preventing CAVs from cyber security attacks need to be considered at the beginning of CAV development. In this paper, a large set of potential cyber attacks are collected and investigated from the aspects of target assets, risks, and consequences. Severity of each type of attacks is then analysed based on clearly defined new set of criteria. The levels of severity for the attacks can be categorized as critical, important, moderate, and minor. Mitigation methods including prevention, reduction, transference, acceptance, and contingency are then suggested. It is found that remote control, fake vision on cameras, hidden objects to LiDAR and Radar, spoofing attack to GNSS, and fake identity in cloud authority are the most dangerous and of the highest vulnerabilities in CAV cyber security.

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Cybersecurity Attacks in Vehicle-to-Infrastructure Applications and Their Prevention

Cited by 29 publications

References 21 publications

Development and Performance Evaluation of a Connected Vehicle Application Development Platform

Development and Performance Evaluation of a Connected Vehicle Application Development Platform

Central Aggregator Intrusion Detection System for Denial of Service Attacks

Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles

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