# Roadmap for Cybersecurity in Autonomous Vehicles

**Authors:** Vipin Kumar Kukkala, Sooryaa Vignesh Thiruloga, Sudeep Pasricha  
**arXiv:** [2201.10349](https://arxiv.org/abs/2201.10349)  
**Date:** 2022-01-19  
**Summary page:** https://www.summarizepaper.com/en/paper/2201.10349v1/

## Key points

- Increasing importance of cybersecurity in autonomous vehicles
- Autonomous vehicles rely on advanced embedded systems and connectivity
- Increased connectivity makes them vulnerable to cyber-attacks
- Attacks on automotive systems are already rising and expected to increase in autonomous vehicles
- Urgent need to strengthen cybersecurity measures for safety and security
- Proposed roadmap for building secure autonomous vehicles
- Major automotive cyber-attacks over the past decade discussed
- State-of-the-art solutions leveraging AI to enhance cybersecurity
- Challenges include real-time threat detection, robust authentication mechanisms, and secure software updates
- Importance of prioritizing cybersecurity measures in autonomous vehicles
- AI can be leveraged to enhance cybersecurity
- Implementation of robust security measures ensures a safer future for autonomous transportation.

## Summary

In the article "Roadmap for Cybersecurity in Autonomous Vehicles" by Vipin Kumar Kukkala, Sooryaa Vignesh Thiruloga, and Sudeep Pasricha, the authors discuss the increasing importance of cybersecurity in autonomous vehicles. As autonomous vehicles become more prevalent, they will rely on advanced embedded systems and connectivity to external systems to perceive their environment and make intelligent decisions. However, this increased connectivity also makes them vulnerable to cyber-attacks that can have catastrophic effects. The authors highlight that attacks on automotive systems are already on the rise in today's vehicles and are expected to become even more common in future autonomous vehicles. Therefore, there is an urgent need to strengthen cybersecurity measures in order to ensure the safety and security of these vehicles. To address this issue, the authors propose a roadmap towards building secure autonomous vehicles. They discuss major automotive cyber-attacks that have occurred over the past decade and present state-of-the-art solutions that leverage artificial intelligence (AI) to enhance cybersecurity. By utilizing AI technologies such as machine learning and deep learning algorithms, it becomes possible to detect and mitigate potential cyber threats effectively. However, despite these advancements, there are still key open challenges that need to be addressed. The authors highlight some of these challenges, such as ensuring real-time threat detection and response capabilities, developing robust authentication mechanisms for vehicle-to-vehicle communication, and establishing secure over-the-air software updates. In conclusion, as autonomous vehicles continue to transform transportation safety and comfort, it is crucial to prioritize cybersecurity measures. The proposed roadmap presented in this article provides valuable insights into how AI can be leveraged to enhance cybersecurity in autonomous vehicles. By addressing key challenges and implementing robust security measures, we can ensure a safer future for autonomous transportation.