A benchmarking framework for cyber-attacks on autonomous vehicles

Khadka, Anish; Karypidis, Paris Alexandros; Lytos, Anastasios; Efstathopoulos, Georgios

doi:10.1016/j.trpro.2021.01.038

Cited by 15 publications

(12 citation statements)

References 19 publications

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“…One of the biggest opportunities for AVs is fuel consumption, CO 2 emissions, and pollutant emission reductions, which can help to meet future climate targets. This potential direction of development is expected to receive serious attention due to increasingly stringent emission standards (Cao and Zöldy, 2020;Khadka et al, 2021;Olofsson and Nielsen, 2021;Winkle, 2016).…”

Section: Development Challenges and Opportunitiesmentioning

confidence: 99%

“…Currently, even autonomous vehicles are vulnerable to cyberattacks and hackers, which manufacturers will have to deal with in the future. Due to the detailed problems, the security risk needs to be minimized for AVs to be traffic safe and reliable (Khadka et al, 2021). Cao and Zöldy (2020) investigated the possibilities of reducing fuel consumption and pollutant emissions of autonomous vehicles.…”

Section: Development Challenges and Opportunitiesmentioning

confidence: 99%

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Road Safety Analysis of Autonomous Vehicles

Szűcs

Hézer²

2022

Period. Polytech. Transp. Eng.

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For the widespread use of Autonomous Vehicles (AVs), a huge number of challenges must be solved by vehicle manufacturers, in contrast they do have significant potential to increase road safety in both passenger and freight transport. In addition to reducing road traffic accidents and traffic jams, AVs also offer a major opportunity to reduce pollutant emissions and CO2 emissions from environmental point of view. In order to implement accident-free traffic, also called Vision Zero, it is essential to examine the safety and reliability of AVs. This article analyzes road traffic accident data and the potential safety benefits of AVs. Furthermore, the paper also sets the safety of the conventional vehicles against AVs and examines the type, location, causes, and dynamics of the accidents. The article also provides an overview over the current development trends and challenges, such as the risk of cyber-attacks, the necessary improvements in sensing technologies, and the not insignificant moral issue of AVs.

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Section: Development Challenges and Opportunitiesmentioning

confidence: 99%

Section: Development Challenges and Opportunitiesmentioning

confidence: 99%

Road Safety Analysis of Autonomous Vehicles

Szűcs

Hézer²

2022

Period. Polytech. Transp. Eng.

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“…Malicious actors may seek to interfere with the operations of a transportation system network through attacks, such as traffic sign modification, GPS spoofing, distributed denial of service attacks, and injecting false information. As a vehicular network grows in size, the interconnected nature of the network increases the number of attack surfaces for malicious vehicles to exploit and magnifies the impact of attacks [22].…”

Section: Attacks On Autonomous Vehiclesmentioning

confidence: 99%

Evaluation of a Reputation Management Technique for Autonomous Vehicles

Kianersi¹,

Uppalapati²,

Bansal³

et al. 2022

Future Internet

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Future autonomous vehicles will rely heavily on sharing and communicating information with other vehicles to maximize their efficiency. These interactions, which will likely include details about the positions of surrounding vehicles and obstacles on the road, are essential to their decision-making and the prevention of accidents. However, malicious vehicles—those that intentionally communicate false information—have the capacity to adversely influence other vehicles in the network. This paper presents and evaluates a reputation management system, capable of identifying malicious actors, to mitigate their effects on the vehicle network. The viability of multiple report weighting schemes to calculate reputation is evaluated through a simulation, and a blockchain-based backend for the reputation management system to securely maintain and communicate reputation data is proposed. Storage and computational challenges are considered. This paper shows that weighting schemas, related to the number and reputation of witnesses, positively affect the accuracy of the model and are able to identify malicious vehicles in a network with consistent accuracy and scalability.

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“…A catastrophic collision of two or more trucks can also occur, resulting in the loss of people and resources. On the other hand, camera attacks are discussed in several studies, such as [9,21,30,31]. These papers have highlighted ideas about protection from camera attacks, without presenting practical solutions or countermeasures to camera attacks.…”

Section: Open Issuesmentioning

confidence: 99%

Autonomous Haulage Systems in the Mining Industry: Cybersecurity, Communication and Safety Issues and Challenges

et al. 2021

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The current advancement of robotics, especially in Cyber-Physical Systems (CPS), leads to a prominent combination between the mining industry and connected-embedded technologies. This progress has arisen in the form of state-of-the-art automated giant vehicles with Autonomous Haulage Systems (AHS) that can transport ore without human intervention. Like CPS, AHS enable autonomous and/or remote control of physical systems (e.g., mining trucks). Thus, similar to CPS, AHS are also susceptible to cyber attacks such as Wi-Fi De-Auth and GPS attacks. With the use of the AHS, several mining activities have been strengthened due to increasing the efficiency of operations. Such activities require ensuring accurate data collection from which precise information about the state of the mine should be generated in a timely and consistent manner. Consequently, the presence of secure and reliable communications is crucial in making AHS mines safer, productive, and sustainable. This paper aims to identify and discuss the relation between safety of AHS in the mining environment and both cybersecurity and communication as well as highlighting their challenges and open issues. We survey the literature that addressed this aim and discuss its pros and cons and then highlight some open issues. We conclude that addressing cybersecurity issues of AHS can ensure the safety of operations in the mining environment as well as providing reliable communication, which will lead to better safety. Additionally, it was found that new communication technologies, such 5G and LTE, could be adopted in AHS-based systems for mining, but further research is needed to considered related cybersecurity issues and attacks.

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A benchmarking framework for cyber-attacks on autonomous vehicles

Cited by 15 publications

References 19 publications

Road Safety Analysis of Autonomous Vehicles

Road Safety Analysis of Autonomous Vehicles

Evaluation of a Reputation Management Technique for Autonomous Vehicles

Autonomous Haulage Systems in the Mining Industry: Cybersecurity, Communication and Safety Issues and Challenges

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