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 June 2024
Professor Jungpil Hahn works for the Department of Information Systems and Analytics at the School of Computing, National University of ...
25 March 2024
Launched on March 25, the NUS AI Institute (NAII) will conduct research on how to address the ethical concerns and ...
16 June 2023
13 December 2023
To help bridge the tech talent shortage companies and organisations are facing, the National University of Singapore (NUS) in October ...
3 January 2022
18 September 2018
25 September 2019
26 June 2018
27 November 2023
In response to queries, Professor Teo Hock Hai, from the NUS Department of Information Systems and Analytics and principal investigator ...
28 January 2019
21 February 2021
13 July 2018
26 February 2024
Prof Anthony Tung highlights the critical link between legislation and technology, particularly in regulating AI. ...
10 April 2018
4 December 2018
16 September 2020
29 June 2018
12 March 2018
5 April 2024
Professor Anthony Tung discusses the impact of Open AI Sora on various industries on Hello Singapore. ...
11 September 2018
-
Computing 1
13 Computing Drive
Singapore 117417
Additional Links
© National University of Singapore. All Rights Reserved. • Legal • Branding guidelines