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Department of Computer Science Colloquium
2018 Series

Ranking based Hashing for Biometric Template Protection and Cryptosystems

Prof. Andrew Teoh
Department of Electrical and Electronic Engineering
College of Engineering
Yonsei University
South Korea

Date: December 14, 2018 (Friday)
Time: 10:30 - 11:30 am
Venue: LT1 (SCT501), Cha Chi Ming Science Tower, Ho Sin Hang Campus

Although biometrics is a powerful means against repudiation and has been widely deployed in identity management systems, the biometric characteristics are largely immutable, resulting in permanent biometric compromise. Cancellable biometrics was proposed by storing a transformed version of the biometric template and provides higher privacy level by allowing multiple templates to be associated with the same biometric data. This helps to promote non-linkability of user’s data stored across various databases and revocation can be done when template is compromised. On the other hand, the inability of humans to remember and generate strong secrets makes it problematic for people to manage cryptographic keys. To address this problem, biometric cryptosystems such as fuzzy commitment, fuzzy vault and fuzzy extractor have been put forward to enable a user to repeatedly generate a cryptographic key from his/her biometrics. In this talk, a ranking based locality sensitive hashing technique dubbed Index-of-Max (IoM) hashing is showcased for a biometric template protection and biometric cryptosystem. The randomized and learning based IoM hashing variants as a means of cancellable biometrics are demonstrated. Besides that, IoM hashing can be utilized to construct a fuzzy vault variant that suits to vectorial biometrics and to realize Rivest’s Keyring Model in a form of chaff-less fuzzy vault.

Andrew Beng Jin Teoh obtained his BEng (Electronic) in 1999 and Ph.D degree in 2003 from National University of Malaysia. He is currently a professor in the Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, South Korea.

His research, for which he has received funding, focuses on biometric applications and biometric security. His current research interests are Machine Learning and Information Security. He has published more than 300 internationally refereed journal papers, conference articles, edited several book chapters and edited book volumes. He served and is serving as a guest editor of IEEE Signal Processing Magazine, an associate editor of IEEE Transaction on Information Forensic and Security, IEEE Biometrics Compendium and editor-in-chief of IEEE Biometrics Council Newsletter. He was a program co-chair of ICONIP 2014, area chair of ICPR 2016, 2018 and ICIP 2017, 2018 track chair and TPC for several conferences related to computer vision, pattern recognition and biometrics.

********* ALL INTERESTED ARE WELCOME ***********
(For enquiry, please contact Computer Science Department at 3411 2385)
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