This presentation is part of the Device Security by Design Series.
Watch the video (below) presented by Mark Pitchford, Technical Specialist at LDRA.
You can download the PDF presentation and leave comments or questions below.
Machine-learning models are very good at anomaly detection when properly trained. These artificial-intelligence systems are currently used to identify people, places, and things for self-driving cars and picking out bad apples on an assembly line.
Applying anomaly detection to embedded systems is a challenge, but it's one that can provide benefits like identifying a device that's not working properly or one that might be under attack by nefarious third parties. This session takes a look at this approach and how it's implemented in BG Networks' AnCyR platform.