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
10 December 2023
In the race to harness the power of artificial intelligence (AI), Singapore aims to get ahead by more than tripling ...
11 September 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 ...
2 October 2024
9 September 2019
25 March 2024
Launched on March 25, the NUS AI Institute (NAII) will conduct research on how to address the ethical concerns and ...
25 September 2024
14 February 2019
13 February 2026
Lianhe Zaobao reported on the Government’s AI initiatives announced in Budget 2026, including the establishment of a National AI Council ...
8 April 2019
5 June 2023
4 March 2024
Associate Professor Terence Sim analysed OpenAI's showcase videos, uncovering subtle clues that can help identify AI-generated content. ...
14 May 2018
10 April 2018
1 March 2018
15 March 2024
While AI offers exciting potential for creative content creation, Professor Hahn Jungpil warns of its double-edged nature. Deepfakes pose a ...
16 June 2023
23 November 2021
