Detection of replay attacks in autonomous vehicles using a bank of QPV observers

Sánchez, Helem Sabina; Rotondo, Damiano; Puig, Vicenç; Escobet, Teresa; Quevedo, Joseba

doi:10.1109/med51440.2021.9480330

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Replay attacks, which gather measurement signals and then replay them to the system, can have severe effects since they modify messages [183]. They have only been used with linear time-invariant (LTI) systems.…”

Section: Relay Attackmentioning

confidence: 99%

See 1 more Smart Citation

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.

show abstract

Section: Relay Attackmentioning

confidence: 99%

“…The proposed strategy is then shown to be capable of detecting generalized replay assaults both in theory and in simulation using an LTV vehicle model. Replay attack detection in autonomous vehicles is a challenge addressed in [183].…”

Section: Relay Attackmentioning

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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show abstract

Autonomous Vehicles Security: Challenges and Solutions Using Blockchain and Artificial Intelligence

Bendiab

Hameurlaine

Germanos

et al. 2023

IEEE Trans. Intell. Transport. Syst.

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Resilient Event Triggered Interval Type‐2 Fuzzy Sliding Mode Control for Connected and Autonomous Vehicles Subjected to Multiple Cyber Attacks

Mohammed,

Ramlal,

Marine

et al. 2024

Journal of Advanced Transportation

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Connected and autonomous vehicles (CAVs) are considered a hot area of research in the field of intelligent transportation systems. However, over the past few years, cybersecurity threats have posed significant challenges to such systems, given the ever‐evolving automotive industry. Thus, there is a growing need to design resilient control strategies to address the issue of cyberattacks. This article proposes the design of a distributed multiagent expert control scheme for cyberattack‐resilient control of CAVs. The study implemented an event‐triggered consensus‐based attack detection scheme capable of distinguishing between replay (RA), denial‐of‐service (DoS), and false data injection (FDI) attacks. The attacks in this study occur randomly, are bounded and time‐varying, and can overlap with each other. It was demonstrated that by considering an estimator error bound ε for the attacked signal reconstruction, the SMC controller in feedback with a vehicle remains stable in the sense of Lyapunov. Conditions were then provided that guarantee global asymptotic stability for a minimum dwell‐time constraint , and the platoon was shown to be string stable for the minimum distance between vehicles, denoted as . Finally, the performance of the control strategy was evaluated using multiple performance indices, considering platoons of varying sizes.

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Detection of replay attacks in autonomous vehicles using a bank of QPV observers

Cited by 3 publications

References 27 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

Autonomous Vehicles Security: Challenges and Solutions Using Blockchain and Artificial Intelligence

Resilient Event Triggered Interval Type‐2 Fuzzy Sliding Mode Control for Connected and Autonomous Vehicles Subjected to Multiple Cyber Attacks

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