In the News: Assistant Professor Terence Sim’s Work on Biometrics Security


 

 Assistant Professor Terence Sim
 explaining the working of the
 biometrics security system to
 Singapore television viewers.

 

NUS School of Computing researchers have developed a new information security system that minimises the risk of a computer system being hijacked after login. The system works by verifying the identity of the user continuously, using biometrics such as thumbprint and facial features. It is the work of a team known as the NUS Face Group, headed by Assistant Professor Terence Sim and including Associate Professor Roland Yap.

For most computer systems, once the identity of the user has been verified at login, system resources are typically made available until the user exits the system. This leaves the system vulnerable to session hijacking, where an attacker targets the session of use after an authorised user logs in. In low security environments, the probability of any such breach may not be high, and its implication may also not be serious. However, in sensitive environments such as the airliner cockpit and the nerve centre of defence facilities, the unauthorised use of a computer could cost human lives.

Using the newly developed biometrics security system, a device or equipment will automatically shut down if the system fails in the verification of the user’s identity at any time during the continuous verification process. With the system, thumbprint and facial features are not only used to authenticate a session at startup; they are also used in a loop throughout the session, to ensure that the person using the computer terminal is indeed the same person who has logged in.
   
 
Dr Sim was interviewed recently about the biometrics security system on MediaCorp’s Chinese-language television stations Channel 8 and Channel U.

The Assistant Professor, who won the prestigious Temasek Young Investigator Award in 2006 for his work in face recognition, told viewers that his team is now working to enhance the system with added parameters of user verification, including typing speed and rhythm.

Watch the streamed video of Dr Sim’s interview at a connection speed suitable for you:

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Find out more about the NUS Face Group here.

Read the published paper on the biometrics information security system here.

   
   
   
   
 
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Last Modified on: 12 September 2007


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