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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Tuyls, Pim (Επιμελητής έκδοσης), Skoric, Boris (Επιμελητής έκδοσης), Kevenaar, Tom (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2007.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.