Cybersecurity Threats and Solutions in Autonomous Vehicles

Abstract—The integration of autonomous vehicles into modern transportation systems introduces both transformative potential and significant cybersecurity challenges. This paper examines the critical importance of cybersecurity in autonomous vehicles, highlighting key threats such as remote hacking, sensor spoofing, and data breaches that jeopardize vehicle safety and user privacy. Utilizing a mixed-methods approach, the study combines quantitative data analysis with qualitative case studies to thoroughly assess these vulnerabilities. Additionally, it evaluates a range of solutions, including advanced intrusion detection systems, robust encryption protocols, and machine learning-driven threat prevention methods. The findings reveal that while technological advancements offer effective countermeasures, continuous innovation and collaboration among manufacturers, cybersecurity experts, and regulatory bodies are crucial in adapting to evolving threats. This research provides strategic insights and practical recommendations for enhancing the security of autonomous vehicles, thereby safeguarding public safety and reinforcing trust in automated transportation systems. Index Terms—Cybersecurity, Autonomous Vehicles, Threat Analysis, Intrusion Detection, Vehicle-to- Everything (V2X), Data Privacy