Preventing cyberattacks through smart network surveillance
Home » Media Mentions » Preventing cyberattacks through smart network surveillance
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
Trending Posts
26 August 2025
25 October 2018
13 February 2026
Lianhe Zaobao reported on the Government’s AI initiatives announced in Budget 2026, including the establishment of a National AI Council ...
14 December 2020
26 September 2022
19 December 2019
18 September 2018
9 September 2019
12 March 2023
5 June 2024
Professor Anthony Tung explores the topic of deepfake scams, their prevalence and how ordinary people can identify and prevent themselves ...
