Security with Noisy Data

TRAMA

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.

SOMMARIO

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781849966931
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XVI, 340 p.
• Pagine Arabe: 340
• Pagine Romane: xvi