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
5 February 2024
Associate Professor Kan Min Yen asserts that ASEAN, as a “critical region,” stands to gain from suitable AI adoption and ...
13 July 2018
14 November 2018
16 September 2020
13 February 2018
20 January 2021
27 May 2019
31 October 2018
8 February 2024
Associate Professor Kan Min Yen emphasises that Southeast Asia's regulations are less detailed compared to the EU's, citing the region's ...
1 October 2019
5 October 2019
16 June 2023
12 December 2025
Professor Ng Hwee Tou from NUS Computing shared his expert perspectives in CGTN's (China Global Television Network) Asia Today segment ...
10 April 2018
