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.
Rezensionen / Stimmen
"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)
Sprache
Verlagsort
Verlagsgruppe
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Dateigröße
ISBN-13
978-1-84628-984-2 (9781846289842)
DOI
10.1007/978-1-84628-984-2
Schweitzer Klassifikation
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.
