Table 1.

Research on risk assessment and resilient control for autonomous vehicles (2013–2022)

Category Cite Year Approach and experiment
Risk assessment [36] 2013 Threat analysis and risk associated with the threat.
[37] 2014 Likelihoods of threats to connected vehicles (OBD-II, CAN).
[38] 2015 Threats on autonomous vehicles.
[39] 2015 Automotive security evaluation assurance levels (ASEAL).
[40] 2016 Risk assessment techniques for automotive.
[41] 2016 Demonstrate viability use-case and risk assessment framework.
[42] 2017 Threat scenarios related open charge point protocol (OCPP).
[43] 2018 Method of security testing for automotive Bluetooth.
[44] 2018 Threats of the car and countermeasure strategies.
[45] 2019 Cybersecurity framework of threat analysis and risk assessment.
[23] 2020 Impact of jamming attacks on vehicular CACC.
[24] 2020 Cyber-physical security of energy management system for CAVs.
[17] 2021 Threat analysis of motion control system for electric vehicles.
[46] 2022 Conceptual system dynamics model to analyze CAVs cybersecurity.
[47] 2022 Autonomous vehicle security decay assessment.

Attack detection [48] 2019 Detect masquerade and time-based attacks.
[49] 2019 Detect abnormalities and identify source of attackers.
[50] 2020 Detect threats via schedulability response time analysis.
[25] 2020 Distributed attack detection and recovery to vehicle platooning.
[51] 2021 Detect masquerade attacks in transmitted CAN-FD messages.
[52] 2021 Protect CAVs against perception error attacks.
[27] 2022 Detect sensor fusion-based GNSS spoofing attacks.

Resilient control [28] 2021 Adaptive resilient event-triggered control against DoS attacks.
[29] 2021 Nonlinear resilient path following control against DoS attacks.
[30] 2022 Resilient CACC for autonomous vehicles.
[19] 2022 Attack-resilient lateral stability control for electric vehicles.

Note: CACC: Cooperative adaptive cruise control; CAV: Connected and automated vehicle.

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