The author suggests that the design and development of SDVs should incorporate security from the outset, using a Security-by-Design approach. The article also recommends the use of hardware solutions that leverage AI and machine learning to deliver proactive security at the hardware and firmware level of devices. The author concludes by stating that addressing cybersecurity concerns is crucial for the industry to reach its next stage of growth and for autonomous driving to reach its full potential.
Key takeaways:
- Self-driving vehicles (SDVs) are becoming more prevalent in the automotive industry, but public trust in these vehicles is low due to concerns about safety, lack of control, ethical issues, and cybersecurity risks.
- Two major types of cyberattacks that can impact SDVs are Over The Air (OTA) attacks, which occur over wireless communication channels, and remote and physical hacking, which involves compromising the software of the vehicle.
- Securing the SDV supply chain is crucial, and this should involve incorporating security from the outset, from manufacturing to hardware and software development. This includes adopting a Security-by-Design approach and leveraging AI and machine learning for proactive security.
- Despite concerns, the benefits of SDVs such as reduced carbon emissions, increased accessibility, and removing the danger of human error may eventually lead to greater consumer acceptance. However, the cybersecurity industry must address the protection of these vehicles against cyber threats for the industry to reach its full potential.