TeamDman/Vehicular-Game-Theory
Code for my Master's thesis, game theory for adversarial autonomous vehicle platooning scenarios
This project helps researchers and engineers analyze the security of autonomous vehicle platoons against adversarial attacks using game theory and reinforcement learning. It takes in simulated autonomous vehicle scenarios and outputs optimized strategies for both the vehicles and potential attackers. The primary users are autonomous vehicle security researchers and academic engineers.
No commits in the last 6 months.
Use this if you are exploring how autonomous vehicle platoons can defend against or be exploited by malicious actors in a simulated environment.
Not ideal if you need to test physical autonomous vehicles or are looking for a complete, production-ready security solution.
Stars
14
Forks
1
Language
Jupyter Notebook
License
MPL-2.0
Category
Last pushed
Apr 28, 2023
Commits (30d)
0
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