Cybersecurity Challenges in Autonomous Ground Vehicles: A Multilayered Approach

Abstract

Autonomous Ground Vehicles (AGVs) are increasingly being integrated into critical industries, such as defense, logistics, and urban transportation, where they perform complex tasks with minimal human intervention. However, the rise of autonomy also introduces significant cybersecurity risks, as AGVs become attractive targets for malicious attacks. This paper explores the unique cybersecurity challenges associated with AGVs and proposes a multilayered approach to mitigate these threats. Our framework addresses vulnerabilities across communication networks, software, hardware, and sensor systems, focusing on secure data transmission, intrusion detection, and resilient control mechanisms. By implementing security measures at multiple layers, including encryption protocols, AI-driven threat detection, and system redundancy, the proposed approach enhances the protection of AGVs from cyberattacks. Field simulations demonstrate the effectiveness of the multilayered defense strategy in safeguarding AGVs from common attack vectors, such as data tampering, denial-of-service, and sensor spoofing. This study provides a comprehensive roadmap for enhancing the cybersecurity posture of AGVs, ensuring safe and reliable operations in diverse environments.