Digital Twin-Based Deception Solution for Autonomous Vehicles Security
Organisatsiooni nimi
Autonomous Driving Lab
Kokkuvõte
This thesis explores the use of digital twin technology to enhance the cybersecurity of autonomous vehicles by implementing deception-based strategies. As autonomous vehicles become increasingly dependent on complex, interconnected systems, they are vulnerable to cyber-attacks that compromise safety and functionality. This research shall propose a novel approach using digital twins — virtual replicas of the vehicles — to create dynamic and deceptive environments that mislead attackers, thereby protecting the real systems from unauthorized access and malicious actions. The practical solution involves developing a digital twin framework that can simulate realistic vehicle behaviors and generate deceptive data to confuse potential attackers while simultaneously monitoring for signs of intrusion. By integrating deception with real-time security monitoring, this approach aims to improve the resilience of autonomous vehicle systems against sophisticated cyber attacks.
Related literature: https://doi.org/10.1145/3664476.3670473
Related literature: https://doi.org/10.1145/3664476.3670473
Lõputöö kaitsmise aasta
2024-2025
Juhendaja
Mubashar Iqbal, Naveed Muhammad
Suhtlemiskeel(ed)
Nõuded kandideerijale
Tase
Bakalaureus, Magister
Märksõnad
Kandideerimise kontakt
Nimi
Naveed Muhammad
Tel
E-mail