IoT Botnet Detection System using Machine Learning

Jonathan Myers

Length: 20 Minutes

Location: Track 3 at 1330

Talk Description: IoT Botnets recently became a destructive weapon against the internet domain, most notably Marai and the up and coming Reaper botnet. Our research focuses on determining which features are most relevant in detecting botnet activity and designing a machine learning infrastructure to detect anomalies. Our talk will provide a high level overview of our system which features a method for dynamically generating profiles about known device traffic and signatures for anomaly detection.

Bio: Jonathan Myers is currently pursuing his Bachelors of Science in Computing Security while also working as a Research Assistant at the Rochester Institute of Technology. His areas of interest include binary exploitation, web application security, and security tool development. Jonathan is also an active member of the Security Practices and Research Student Association at the Rochester Institute of Technology.


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