Tag Archives: Automobile

Neural Networks for Securing Vehicles

Probing the limits of anomaly detectors for automobiles with a cyber attack framework Adrian Taylor (Defence R&D Canada), Sylvain Leblanc (Royal Military College of Canada), and Nathalie Japkowicz (American University, USA) Modern vehicles are increasingly governed and controlled by a network of computers.  Automobile security requires that these networks are secure.  Detecting malicious traffic on …

Adrian Taylor – Detecting anomalies on the automotive control bus with machine learning

Presented at the SERENE-RISC Workshop, 2017 October.  Detecting anomalies on the automotive control bus with machine learning. Cars are vulnerable to hacking. While automotive cyber attacks are not yet a widespread threat, learning how to detect them will be an important part of future countermeasures. Attacks must be crafted for specific models, so attack detectors must …