A review of factors impacting Cybersecurity in Connected and Autonomous Vehicles (CAVs)

Pandey, Mohinder; Seetharaman,

doi:10.1109/codit55151.2022.9804071

Cited by 5 publications

(3 citation statements)

References 45 publications

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“…Vulnerabilities detection/Penetration testing: Penetration tests can provide insight into the likelihood of a threat occurring and how successful a cyber attack could be 6 . Such capabilities must be incorporated in in-situ testing.…”

Section: St7 -mentioning

confidence: 99%

“…As CAV adoption increases, a robust cybersecurity assurance framework is needed to ensure safety and public trust [6]. Therefore, this paper presents the concept of a Cybersecurity Test and Evaluation Facility (CTEF) targeting C-ITSs and a CAV-enabled Cybersecurity Centre of Excellence (CSCE) and a survey of the existing challenges and requirements for such frameworks.…”

Section: Introductionmentioning

confidence: 99%

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Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs

Mavromatis,

Spyridopoulos,

Carnelli

et al. 2024

EAI Endorsed Trans Ind Net Intel Syst

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The way we travel is changing rapidly and Cooperative Intelligent Transportation Systems (C-ITSs) are at the forefront of this evolution. However, the adoption of C-ITSs introduces new risks and challenges, making cybersecurity a top priority for ensuring safety and reliability. Building on this premise, this paper introduces an envisaged Cybersecurity Centre of Excellence (CSCE) designed to bolster researching, testing, and evaluating the cybersecurity of C-ITSs. We explore the design, functionality, and challenges of CSCE's testing facilities, outlining the technological, security, and societal requirements. Through a thorough survey and analysis, we assess the effectiveness of these systems in detecting and mitigating potential threats, highlighting their flexibility to adapt to future C-ITSs. Finally, we identify current unresolved challenges in various C-ITS domains, with the aim of motivating further research into the cybersecurity of C-ITSs.

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Section: St7 -mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs

Mavromatis,

Spyridopoulos,

Carnelli

et al. 2024

EAI Endorsed Trans Ind Net Intel Syst

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show abstract

“…In fact, most crashes are due to human error, but new vehicular equipment helps to prevent accidents, also removing the social costs associated with them [18]. However, for higher levels of automation, the possibility of the emergence of new types of accidents due to possible failures in the automation or communication system should be considered [22][23][24][25].…”

mentioning

confidence: 99%

Performances and Environmental Impacts of Connected and Autonomous Vehicles for Different Mixed-Traffic Scenarios

Gemma,

Onorato,

Carrese

2023

Sustainability

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As the transition towards connected and autonomous vehicles gradually happens, different phases with CAVs and human-driven vehicles sharing the same network will occur. This paper’s purpose is to increase the knowledge of these mixed situations, studying the impacts of an increasing number of CAVs within the vehicle fleet on road capacity, travel time savings and energy consumption, providing new insights into the debate that is still open. The methodology focused on a microsimulation-based approach on an urban motorway in the city of Rome. Some of the outcomes from simulations, run with the software PTV VissimTM 21, were used to analyse variations in general performances of the transportation system, whereas the remaining results were fed into the emission model COPERT for assessing the impacts of CAV penetration on the energy consumption of the fleet. Results show how, in congested cases, appreciable improvements can be recorded in terms of road capacity, mean speeds, and environmental impacts, while in lower-congested situations, any enhancement in traffic fluidification counteracts the environmental performances of the whole system.

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Machine Learning Systems for Connected Vehicles

Riffee,

Cyphers,

Francia

et al. 2023

2023 International Conference on Computational Science and Computational Intelligence (CSCI)

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A review of factors impacting Cybersecurity in Connected and Autonomous Vehicles (CAVs)

Cited by 5 publications

References 45 publications

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs

Performances and Environmental Impacts of Connected and Autonomous Vehicles for Different Mixed-Traffic Scenarios

Machine Learning Systems for Connected Vehicles

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