A Machine Learning Based Approach to Detect Cyber-Attacks on Connected and Autonomous Vehicles (CAVs)

Author:

Nazaruddin Safwan Abdul,Chaudhry Umair B.

Publisher

Springer International Publishing

Reference68 articles.

1. Brake (2021) Connected and autonomous vehicles. https://www.brake.org.uk/get-involved/take-action/mybrake/knowledge-centre/vehicles/connected-and-autonomous-vehicles. Accessed 02 May 2022

2. Sun X, Yu FR, Zhang P (2022) A survey on cyber-security of connected and autonomous vehicles (CAVs). IEEE Trans Intell Transp Syst 23(7):6240–6259

3. Greenberg A (2015) Wireless communication between cars could be a security risk. Available at: https://slate.com/technology/2015/10/wireless-communication-between-cars-could-be-asecurity-risk.html (Accessed: 14 June 2023)

4. He Q (2021) A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security. Mathematics 8:1311

5. Chakraborty S et al (2016) Automotive cyber-physical systems: a tutorial introduction. IEEE Des Test 33(4):92–108

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