- Author:
- Patrizio Campisi
This important text/reference presents the latest secure and privacy-compliant techniques in automatic human recognition. Featuring viewpoints from an international selection of experts in the field, the comprehensive coverage spans both theory and practical implementations, taking into consideration all ethical and legal issues. Topics and features: presents a unique focus on novel approaches and new architectures for unimodal and multimodal template protection; examines signal processing techniques in the encrypted domain, security and privacy leakage assessment, and aspects of standardization; describes real-world applications, from face and fingerprint-based user recognition, to biometrics-based electronic documents, and biometric systems employing smart cards; reviews the ethical implications of the ubiquity of biometrics in everyday life, and its impact on human dignity; provides guidance on best practices for the processing of biometric data within a legal framework.
Cited By
- Gomez-Barrero M, Maiorana E, Galbally J, Campisi P and Fierrez J (2017). Multi-biometric template protection based on Homomorphic Encryption, Pattern Recognition, 67:C, (149-163), Online publication date: 1-Jul-2017.
- Todisco M, Delgado H and Evans N (2017). Constant Q cepstral coefficients, Computer Speech and Language, 45:C, (516-535), Online publication date: 1-Sep-2017.
- Poonguzhali N and Ezhilarasan M A Hybrid Template Protection Technique for Fingerprint Biometric Authentication System Proceedings of the International Conference on Informatics and Analytics, (1-6)
- Yasuda M and Sugimura Y (2015). Biometric key-binding using lattice masking, Security and Communication Networks, 8:18, (3405-3414), Online publication date: 1-Dec-2015.
- Cazzato D, Leo M, Evangelista A and Distante C Soft Biometrics by Modeling Temporal Series of Gaze Cues Extracted in the Wild Proceedings of the 16th International Conference on Advanced Concepts for Intelligent Vision Systems - Volume 9386, (391-402)
- Mandal A, Roy A and Yasuda M Comprehensive and Improved Secure Biometric System Using Homomorphic Encryption Revised Selected Papers of the 10th International Workshop on Data Privacy Management, and Security Assurance - Volume 9481, (183-198)
Index Terms
- Security and Privacy in Biometrics
Reviews
S. Nagaraj
The use of physical or behavioral characteristics such as fingerprints, iris patterns, and voice prints to identify individuals offers some advantages over traditional approaches such as passwords or tokens. However, the science of biometrics also has some drawbacks in terms of security and privacy [1,2]. This book presents perspectives on the issues of security and privacy in biometrics from international experts. It is meant for students, practitioners, and researchers. The book reviews some of the recent developments related to increasing privacy in biometrics, illustrated with real-life scenarios. The first of 15 chapters introduces the main topic. The remaining chapters look at a variety of related topics, including design aspects; bio-cryptographic alternatives to traditional public key infrastructure (PKI); ways of protecting biometric templates; privacy leaks; cryptography using multi-biometrics; the use of secure two-party computation for preserving privacy; protection of fingerprint templates; the use of face recognition systems to protect privacy; the use of smartcards to increase security and privacy in biometrics; privacy-preserving architectures; standards; effects on society; best practices; biometrics and human rights in the European context; and recommendations. The collection covers the latest developments in increasing security and privacy in biometrics. Despite contributions by several experts on their respective areas of specialization, the editor of the book has managed to achieve homogeneity. Most of the chapters have numerous references to the literature. However, there is no collective bibliography. In some chapters, the references are not in alphabetic order. This makes reading difficult. Despite several years of research, the issues related to security and privacy in biometrics have not been solved completely; a list of open problems would have been useful for researchers. The book will be useful for doctoral students, but I feel it may not be suitable for other students due to its depth and lack of pedagogical exercises. The font employed in the book makes reading difficult. However, I strongly recommend this book for researchers, practitioners, and all those interested in biometrics. Online Computing Reviews Service
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