Preventing cyberattacks through smart network surveillance

30 October 2018

Department of Computer Science, Faculty, News Media

Cyberattacks are a significant problem, but it can be difficult for organizations to distinguish the early stages of an attack from normal network traffic. Associate Professor Chan Mun Choon’s lab is working on machine learning algorithms that can analyse large amounts of network data with the aim of detecting even novel forms of attack in real time.

World Economic Forum, 30 October 2018
News Video, 30 October 2018

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