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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.
Cited By
- Mukherjee A, Ripon K, Ali L, Zahidul Islam M and Mamun-Al-Imran G Image Gradient Based Iris Recognition for Distantly Acquired Face Images Using Distance Classifiers Computational Science and Its Applications – ICCSA 2022 Workshops, (239-252)
- Findling R, Hölzl M and Mayrhofer R (2018). Mobile Match-on-Card Authentication Using Offline-Simplified Models with Gait and Face Biometrics, IEEE Transactions on Mobile Computing, 17:11, (2578-2590), Online publication date: 1-Nov-2018.
- Findling R, Hölzl M and Mayrhofer R Mobile Gait Match-on-Card Authentication from Acceleration Data with Offline-Simplified Models Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, (250-260)
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