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Security with Noisy Data

On Private Biometrics, Secure Key Storage and Anti-Counterfeiting

Pim Tuyls Boris Škoric Tom Kevenaar

$251.95   $201.58

Hardback

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English
Springer London Ltd
15 October 2007
Noisy data appear very naturally in applications where the authentication is based on physical identifiers. This book provides a self-contained overview of the techniques and applications of security based on noisy data.

It covers both the theory of authentication based on noisy data and shows it in practice as a key tool for prevention of counterfeiting. Biometrics and physical unclonable functions are discussed extensively. Key new technologies discussed include: -Algorithms to derive secure keys form noisy data in particular from Physical Unclonable Functions and Biometrics, - also the theory which proves that those algorithms are secure is made accessible; Practical Implementations of the above mentioned algorithms; - Techniques that give insight in the security of those systems in practice; An overview and detailed description of new applications that become possible by using these new algorithms.

This book can serve as a starting point for PhD students entering the field and will also benefit professionals.
Edited by:   , ,
Imprint:   Springer London Ltd
Country of Publication:   United Kingdom
Edition:   Revised ed.
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 21mm
Weight:   1.490kg
ISBN:   9781846289835
ISBN 10:   1846289831
Pages:   340
Publication Date:  
Audience:   College/higher education ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active

Reviews for Security with Noisy Data: On Private Biometrics, Secure Key Storage and Anti-Counterfeiting

""This is a fascinating text for those interested in, and prepared to explore, the latest developments in information security. It is a difficult read for the casual reader, but for the technically savvy security professional interested in the latest developments in biometrics, key security, and anti-counterfeiting, this book should be required reading."" Charles K. Davis, ACM Computing Reviews, February 2009)


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