Potential Cyberattacks on Automated Vehicles

By Jonathan Petit, S. Shladover. IEEE transactions on intelligent transportation systems (Print), 2015

785 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b9e44002a56f398708179f95f7de5deb24c6ead8

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In Automotive Engineering

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Citations in the corpus

Autonomous Cars: Research Results, Issues, and Future Challenges (2019, background): “conducted a thorough survey pertaining to cyberthreats in autonomous car systems [194].”
A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems (2018, background): “Additional information sources can detect many types of faults [98].”
CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles (2018, background): “the messages should be forwarded anonymously in VANETs, several attacks[11] [12-15] (e.”
Cyber Threats Facing Autonomous and Connected Vehicles: Future Challenges (2017, background): “Rather than to inform specific practice or policy, the primary catalysing factor for identifying vulnerabilities is academic research [3], [4], [7], as well as the desire to improve safety of the technology [9].”
Remote Attacks on Automated Vehicles Sensors : Experiments on Camera and LiDAR (2015, background): “Indeed, any attack that degrades sensor data can cause false driving reaction (or at Level 1-2 automation, fake warning that would distract the driver), leading potentially to accidents and fatalities [29].”
Cyber-Physical Systems Security—A Survey (2017, neutral): “Such potential attacks are discussed in [125].”
V2X Access Technologies: Regulation, Research, and Remaining Challenges (2018, background): “A general taxonomy of threats to VANET security is presented below; a full review of potential VANET security vulnerabilities and their solutions are out of the scope of this more general overview, but a more thorough treatment of the subject can be found in [60] or [116].”
A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas (2017, background): “Petit (2015) examines common attack surfaces and risks in such vehicles [149].”
Edge Computing for Autonomous Driving: Opportunities and Challenges (2019, methodology): “In contrast, if the vehicle is the victim, it cannot receive the messages from the infrastructure or cloud, and the DoS attack also interferes with the performance of other tasks on the vehicle, causing unacceptable latency of some autonomous driving applications [102].”
A Survey on Platoon-Based Vehicular Cyber-Physical Systems (2016, background): “require the setup of an authentication system and a misbehavior detection system [147].”