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Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era (Signal Processing for Security Technologies) - Hardcover
Inhaltsangabe
THIS BOOK HIGHLIGHTS RECENT RESEARCH ADVANCES ON BIOMETRICS USING NEW METHODS SUCH AS DEEP LEARNING, NONLINEAR GRAPH EMBEDDING, FUZZY APPROACHES, AND ENSEMBLE LEARNING. INCLUDED ARE SPECIAL BIOMETRIC TECHNOLOGIES RELATED TO PRIVACY AND SECURITY ISSUES, SUCH AS CANCELLABLE BIOMETRICS AND SOFT BIOMETRICS. THE BOOK ALSO FOCUSES ON SEVERAL EMERGING TOPICS SUCH AS BIG DATA ISSUES, INTERNET OF THINGS, MEDICAL BIOMETRICS, HEALTHCARE, AND ROBOT-HUMAN INTERACTIONS. THE AUTHORS SHOW HOW THESE NEW APPLICATIONS HAVE TRIGGERED A NUMBER OF NEW BIOMETRIC APPROACHES. THEY SHOW, AS AN EXAMPLE, HOW FUZZY EXTRACTOR HAS BECOME A USEFUL TOOL FOR KEY GENERATION IN BIOMETRIC BANKING, AND VEIN/HEART RATES FROM MEDICAL RECORDS CAN ALSO BE USED TO IDENTIFY PATIENTS. THE CONTRIBUTORS COVER THE TOPICS, THEIR METHODS, AND THEIR APPLICATIONS IN DEPTH.
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This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.
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This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as quality issue, biometric template protection, and anti-spoofing. The book also focuses on several emerging topics such as big data issues, mobile biometrics and multispectral biometrics, and includes a number of new biometrics such as vein pattern, acoustic biometrics, eye-blinking EOG, ECG, gait and handwriting. Authors also show how to use biometrics in cyber security applications and its relevant legal matters under EU legislation. The contributors cover the topics, their methods, and their applications in depth.
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- VerlagSpringer
- Erscheinungsdatum2016
- ISBN 10 331947300X
- ISBN 13 9783319473000
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten436
- HerausgeberJiang Richard, Al-maadeed Somaya, Bouridane Ahmed
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Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era (Signal Processing for Security Technologies)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Biometric Security and Privacy : Opportunities & Challenges in The Big Data Era
Verlag:
Springer International Publishing, 2016
ISBN 10: 331947300X
ISBN 13: 9783319473000
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth. Artikel-Nr. 9783319473000
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