Security with noisy data : on private biometrics, secure key storage and anti-counterfeiting
"Noisy data appears very naturally in applications where authentication is based on physical structures (e.g. physical unclonable functions) or physiological properties (e.g. biometrics). This book examines how the presence of noise has an impact on information security, and describes how it can be dealt with and even used to generate an advantage over traditional approaches. In addition, it provides a self-contained overview of the techniques and applications of security based on noisy data."--Résumé de l'éditeur
Livres électroniques
1 ressource en ligne
9781846289842, 9781846289835, 184628984X, 1846289831
652656119
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.
Titre de l'écran-titre (visionné le Jan. 30, 2008)