Cyber-Physical Threat Modeling for Autonomous Vehicle Systems - A Deep Learning Approach: Develops cyber-physical threat models for AV systems using deep learning techniques
Keywords:
Autonomous Vehicle Systems, Security, SafetyAbstract
Autonomous Vehicle (AV) systems represent a significant advancement in transportation technology, offering the promise of safer and more efficient transportation. However, with this advancement comes the challenge of ensuring the security and safety of these systems against cyber-physical threats. This research paper presents a novel approach to cyber-physical threat modeling for AV systems using deep learning techniques. We develop a framework that integrates deep learning models with traditional threat modeling techniques to identify and mitigate potential cyber-physical threats to AV systems. Through a series of experiments and case studies, we demonstrate the effectiveness of our approach in enhancing the security and safety of AV systems against cyber-physical threats.
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