Adaptive Learning Systems for Cyber Threat Detection in Autonomous Vehicles - A Computational Intelligence Approach: Explores adaptive learning systems for cyber threat detection in AVs, employing a computational intelligence approach
Published 20-09-2022
Keywords
- Autonomous Vehicles,
- Cybersecurity,
- Adaptive Learning Systems
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
In the era of autonomous vehicles (AVs), ensuring their cybersecurity is paramount. This paper investigates adaptive learning systems for cyber threat detection in AVs, employing a computational intelligence approach. The research explores the integration of adaptive algorithms with AVs' cybersecurity frameworks to enhance threat detection and response capabilities. The study highlights the significance of adaptive learning in addressing evolving cyber threats, offering insights into the implementation challenges and future directions for research in this area.
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References
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