Pim Tuyls / Boris Skoric / Tom Kevenaar (eds.)

Security with Noisy Data

On Private Biometrics, Secure Key Storage and Anti-Counterfeiting
Herausgegeben:Tuyls, Pim; Skoric, Boris; Kevenaar, Tom

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer London / Springer, Berlin
• Artikelnr. des Verlages: 11682158, 978-1-84628-983-5
• Revised edition
• Seitenzahl: 340
• Erscheinungstermin: 15. Oktober 2007
• Englisch
• Abmessung: 242mm x 164mm x 32mm
• Gewicht: 676g
• ISBN-13: 9781846289835
• ISBN-10: 1846289831
• Artikelnr.: 22983863

Autorenporträt

Pim Tuyls, Philips Research, Eindhoven, The Netherlands / Boris ?koric, Philips Research, Eindhoven, The Netherlands / Tom Kevenaar, Philips Research, Eindhoven, The Netherlands

Inhaltsangabe

Theory of Security with Noisy Data.- Unbreakable Keys from Random Noise.- Fuzzy Commitment.- A Communication-Theoretical View on Secret Extraction.- Fuzzy Extractors.- Robust and Reusable Fuzzy Extractors.- Fuzzy Identities and Attribute-Based Encryption.- Unconditionally Secure Multiparty Computation from Noisy Resources.- Computationally Secure Authentication with Noisy Data.- Applications of Security with Noisy Data.- Privacy Enhancements for Inexact Biometric Templates.- Protection of Biometric Information.- On the Amount of Entropy in PUFs.- Entropy Estimation for Optical PUFs Based on Context-Tree Weighting Methods.- Controlled Physical Random Functions.- Experimental Hardware for Coating PUFs and Optical PUFs.- Secure Key Storage with PUFs.- Anti-Counterfeiting.

Rezensionen

"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)