Cybersecurity and Forensics in Connected Autonomous Vehicles: A Review of the State-of-the-Art
Author:
Affiliation:
1. Department of Information Security and Digital Forensics, University at Albany-State University of New York, Albany, NY, USA
2. Department of Informatics, University at Albany-State University of New York, Albany, NY, USA
Funder
State University of New York-University at Albany
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09916257.pdf?arnumber=9916257
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2. Enchanced CAV Security Using Machine Learning;2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2024-08-01
3. Cybersecurity in Autonomous Vehicles—Are We Ready for the Challenge?;Electronics;2024-07-06
4. Enhanced Approaches to Similarity Analysis on Car Accident Reconstruction;2024 IEEE World AI IoT Congress (AIIoT);2024-05-29
5. Security Analysis of Connected Autonomous Vehicles (CAVs): Challenges, Issues, Defenses, and Open Problems;2024 IEEE World Forum on Public Safety Technology (WFPST);2024-05-14
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