In This Live-Coding Session...

Daniel Teuchert will demonstrate a new fuzzing approach, that will instantly improve your code coverage and also helps you to protect your automotive software against unexpected edge cases.

The Use Case: Infotainment systems in modern vehicles usually communicate with a whole range of external sensors. By using a simple configuration file, we were able to fuzz embedded systems while simultaneously simulating the input of those sensors. During the session, we will also discuss how you can apply this new approach to your own software.

Remote Car Hack Through Cellular Network

Vulnerabilities & Lack Of Security Standards

Why You Need Fuzzing for Automotive Machine Learning

Victor Marginean is currently leading the Security & Privacy for Human Interfaces Business Unit at Continental. While working closely together with Code Intelligence in order to ensure software quality and security, he became an advocate of modern fuzzing.

At FuzzCon - Automotive Edition, he joined us to deliver a thrilling talk about the security challenges the current development of machine learning is presenting the automotive sector with. He kindly summed up the essence of his talk titled “If you think it’s complicated now, wait for Machine Learning to happen..." in this article.