Security with Noisy Data
Springer London Ltd (Verlag)
978-1-84628-983-5 (ISBN)
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.
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.
Zusatzinfo | XVI, 340 p. |
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Verlagsort | England |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Kryptologie |
ISBN-10 | 1-84628-983-1 / 1846289831 |
ISBN-13 | 978-1-84628-983-5 / 9781846289835 |
Zustand | Neuware |
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