Security with Noisy Data On Private Biometrics, Secure Key Storage and Anti-Counterfeiting /

Noisy data appears very naturally in applications where the authentication is based on physical identifiers, such as human beings, or physical structures, such as physical unclonable functions. This book examines how the presence of noise has an impact on information security, describes how it can b...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Tuyls, Pim (Editor), Škoric, Boris (Editor), Kevenaar, Tom (Editor)
Format: Electronic eBook
Language:Inglés
Published: London : Springer London : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Subjects:
Cryptography.
Data encryption (Computer science).
Biometric identification.
Data structures (Computer science).
Information theory.
Algorithms.
Cryptology.
Biometrics.
Data Structures and Information Theory.
Online Access:Texto Completo
Table of Contents:
  • 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.

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