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
11 March 2018
26 February 2024
NUS Computing graduates continued to command high employment rates and earned higher starting salaries in 2023, according to the Joint ...
25 October 2018
26 September 2022
14 October 2018
8 December 2020
14 March 2024
Professor Hahn Jungpil highlighted a critical challenge in the realm of deepfake detection. He emphasised that malicious actors could potentially ...
27 May 2019