Building Trust in Driverless Technology: Overcoming Cybersecurity Challenges

Driverless technology is revolutionizing transportation, promising improved safety, efficiency, and accessibility. However, the widespread adoption of autonomous vehicles (AVs) hinges on addressing critical cybersecurity challenges to build public trust. This paper investigates the multifaceted cybersecurity threats faced by driverless systems, including vulnerabilities in communication networks, sensor spoofing, software tampering, and potential breaches in cloud-based data management. These risks not only compromise passenger safety but also erode trust in the technology's reliability and resilience. To overcome these challenges, the paper suggests a comprehensive cybersecurity framework for AVs. This includes robust encryption protocols for vehicle-to-everything (V2X) communication, machine learning-based intrusion detection systems, and blockchain enhanced data integrity solutions. Additionally, regulatory recommendations and industry collaboration are highlighted as essential components in developing standardized cybersecurity measures. The study analyzes real-world incidents and potential attack vectors to provide actionable insights in fortifying the cybersecurity of driverless systems. Ultimately, this paper emphasizes that building trust in the technology of autonomous vehicles requires proactive and transparent approaches to cybersecurity, with the safe and secure integration of AVs into society.