Security of Autonomous Vehicles: 5g Iov (Internet of Vehicles) Environment

Saber, O.; Mazri, T.

doi:10.5194/isprs-archives-xlviii-4-w3-2022-157-2022

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…Even though the suggested approaches have a high success rate, the effort required to implement them can be a significant obstacle to their widespread application. Despite this, the ecosystem for 5G IoV still requires these security solutions because of their reliability in protecting against cyberattacks [190,191].…”

Section: Traditional Security Devicesmentioning

confidence: 99%

Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects

Sadaf,

Iqbal,

Javed

et al. 2023

Technologies

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Autonomous vehicles (AV) are game-changing innovations that promise a safer, more convenient, and environmentally friendly mode of transportation than traditional vehicles. Therefore, understanding AV technologies and their impact on society is critical as we continue this revolutionary journey. Generally, there needs to be a detailed study available to assist a researcher in understanding AV and its challenges. This research presents a comprehensive survey encompassing various aspects of AVs, such as public adoption, driverless city planning, traffic management, environmental impact, public health, social implications, international standards, safety, and security. Furthermore, it presents emerging technologies such as artificial intelligence (AI), integration of cloud computing, and solar power usage in automated vehicles. It also presents forensics approaches, tools used, standards involved, and challenges associated with conducting digital forensics in the context of autonomous vehicles. Moreover, this research provides an overview of cyber attacks affecting autonomous vehicles, attack management, traditional security devices, threat modeling, authentication schemes, over-the-air updates, zero-trust architectures, data privacy, and the corresponding defensive strategies to mitigate such risks. It also presents international standards, guidelines, and best practices for AVs. Finally, it outlines the future directions of AVs and the challenges that must be addressed to achieve widespread adoption.

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Section: Traditional Security Devicesmentioning

confidence: 99%

Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects

Sadaf,

Iqbal,

Javed

et al. 2023

Technologies

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“…To uphold the integrity and con dentiality of V2X communications, it is imperative to implement robust countermeasures against both passive and active cybersecurity threats. These measures are essential to assure vehicular operational safety and e ciency [7].…”

Section: -Introductionmentioning

confidence: 99%

Adaptive security System Implementation for Internet of Vehicle communication network

Elomda,

Ibrahim,

Abdelaziz

2024

Preprint

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Internet of Vehicle (IoV) communication technology has recently improved traffic flow and vehicle movement within 5G systems. The IoV uses Orthogonal Frequency Division Multiplexing (OFDM) as part of the 5G mobile network to increase the number of channels for broad communication. In addition to managing different types of traffic - Video, Audio, Data, and Control while requiring reliability and security measures through its Vehicle-to-everything (V2X) network, IoV poses various challenges that need addressing. To tackle these issues effectively, an adaptive security algorithm is developed with a focus on enhancing traffic safety against passive or active attacks by prioritizing based on channel availability and importance. Furthermore, details about the FPGA implementation to validate our system's design goals and evaluate our proposed algorithm's performance concerning communication overheads and latency reduction strategies are utilized.

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“…Bus transmission protocols without security mechanisms create favourable conditions for attackers to control vehicles [7][8][9][10]. Inadequate security protection regarding in-vehicle sensors pose significant cybersecurity challenges to autonomous driving [11][12][13]. Cybersecurity threats increase the possibility of malicious attacks, triggering numerous cybersecurity attacks, and endangering the safety of vehicles and people.…”

Section: Introductionmentioning

confidence: 99%

ICVTest: A Practical Black-Box Penetration Testing Framework for Evaluating Cybersecurity of Intelligent Connected Vehicles

Zhang,

Wang,

Wang

et al. 2023

Applied Sciences

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Intelligent connected vehicles (ICVs) are equipped with extensive electronic control units which offer convenience but also pose significant cybersecurity risks. Penetration testing, recommended in ISO/SAE 21434 “Road vehicles—Cybersecurity engineering”, is an effective approach to identify cybersecurity vulnerabilities in ICVs. However, there is limited research on vehicle penetration testing from a black-box perspective due to the complex architecture of ICVs. Additionally, no penetration testing framework has been proposed to guide security testers on conducting penetration testing for the whole vehicle. The lack of framework guidance results in the inexperienced security testers being uncertain about the processes to follow for conducting penetration testing. Moreover, the inexperienced security testers are unsure about which tests to perform in order to systematically evaluate the vehicle’s cybersecurity. To enhance the penetration testing efficiency of ICVs, this paper presents a black-box penetration testing framework, ICVTest. ICVTest proposes a standardized penetration testing process to facilitate step-by-step completion of the penetration testing, thereby addressing the issue of inexperienced testers lacking guidance on how to initiate work when confronted with ICV. Also, ICVTest includes 10 sets of test cases covering hardware and software security tests. Testers can select appropriate test cases based on the specific cybersecurity threats faced by the target object, thereby reducing the complexity of penetration testing tasks. Furthermore, we have developed a vehicle cybersecurity testing platform for ICVTest that seamlessly integrates various testing tools. The platform enables even novice testers to conduct vehicle black-box penetration testing in accordance with the given guidance which addresses the current industry’s challenge of an overwhelming number of testing tasks coupled with a shortage of skilled professionals. For the first time, we propose a comprehensive black-box penetration testing framework and implement the framework in the form of a cybersecurity testing platform. We apply ICVTest to evaluate an electric vehicle manufactured in 2021 for assessing the framework’s availability. With the aid of ICVTest, even testers with limited experience in automotive penetration can effectively evaluate the security risks of ICVs. In our experiments, numerous cybersecurity vulnerabilities were identified involving in-vehicle sensors, remote vehicle control systems, and in-vehicle controller area network (CAN) bus.

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Security of Autonomous Vehicles: 5g Iov (Internet of Vehicles) Environment

Cited by 3 publications

References 19 publications

Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects

Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects

Adaptive security System Implementation for Internet of Vehicle communication network

ICVTest: A Practical Black-Box Penetration Testing Framework for Evaluating Cybersecurity of Intelligent Connected Vehicles

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