Biometric Security

· ·
· Cambridge Scholars Publishing
E-book
497
Pages
Éligible
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À propos de cet e-book

Modern biometrics delivers an enhanced level of security by means of a “proof of property”. The design and deployment of a biometric system, however, hide many pitfalls, which, when underestimated, can lead to major security weaknesses and privacy threats. Issues of concern include biometric identity theft and privacy invasion because of the strong connection between a user and his identity.

This book showcases a collection of comprehensive references on the advances of biometric security technology. It compiles a total of fourteen articles, all contributed by thirty-two eminent researchers in the field, thus providing concise and accessible coverage of not only general issues, but also state-of-the-art solutions. The book is divided into five parts:

(1) Biometric Template Protection, which covers cancellable biometrics and parameter management protocol;

(2) Biometric Key and Encryption, focusing on biometric key generation and visual biometric cryptography;

(3) Biometric Systems Analysis, dealing with biometric system security, and privacy evaluation and assessment;

(4) Privacy-Enhanced Biometric Systems, covering privacy-enhanced biometric system protocol design and implementation; and

(5) Other Biometric Security Technologies.

The book will be of particular interest to researchers, scholars, graduate students, engineers, practitioners and developers interested in security and privacy-related issues in biometric systems. It will also be attractive to managers of various organizations with strong security needs.

À propos de l'auteur

David Chek Ling Ngo, MA (TCD), BAI (Hons) (TCD), PhD (TCD), FIET, FBCS, SMIEEE, is a Research Professor at Sunway University, Malaysia. As an active academic researcher with research interests in biometric encryption, aesthetic computation, and predictive intelligence, Dr Ngo has authored and co-authored over 120 refereed papers and currently has four patents pending. He is a member of the Editorial Board of the Journal of Universal Computer Science, and has served as the guest editor of a special issue on pattern recognition in biometrics and bioinformatics for the August 2005 issue of the Multimedia Cyberscape Journal.

Dr Andrew Beng Jin Teoh is an Associate Professor in the Electrical and Electronic Department at the College of Engineering of Yonsei University, South Korea. His research interests are pattern recognition, machine learning and information security. He has published more than 200 international refereed journal and conference articles, and several book chapters. He is also a regular speaker at conferences, academic institutions, and corporations.

Dr Jiankun Hu is Full Professor of Cyber Security at UNSW Canberra (also known as the Australian Defence Force Academy). His research interests include biometrics security, applied cryptography and intrusion detection. He has published numerous articles in these areas in several renowned journals, such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Information Forensics and Security.

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