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
29 June 2018
30 October 2018
10 March 2024
In the documentary, Associate Professor Terence Sim discusses the alarming ease with which deepfakes can be created and their astonishingly ...
2 May 2024
“It’s a difficult balancing act,” says Ooi Wei Tsang, an associate professor in the School of Computing at the National ...
24 May 2019
26 September 2022
8 December 2020
14 January 2020
8 April 2019
14 March 2024
Professor Hahn Jungpil highlighted a critical challenge in the realm of deepfake detection. He emphasised that malicious actors could potentially ...
12 March 2018
29 December 2023
Highlighting the escalating sophistication of fraudsters in their tactics, detecting fraud presents a formidable challenge due to the sheer volume ...
23 November 2020
1 April 2018
14 September 2020
11 March 2019
-
Computing 1
13 Computing Drive
Singapore 117417
Additional Links
© National University of Singapore. All Rights Reserved. • Legal • Branding guidelines