Tag: capture

Over the past year, we’ve worked on a machine learning project at Ben Gurion University of the Negev. The project attempted to find out if we can identify malicious underlying traffic (viruses, botnets, command and control channels) hiding interspersed in ‘normal’ network traffic, without using advanced heuristics or deep packet inspection – but by using…