Protect What Matters
Security with Noisy Data
$24.99
Digital download (PDF), one-time payment
Security with Noisy Data is a practitioner-focused guide to building secure systems from biometric and physical measurements that are naturally noisy. It explains how fuzzy extractors, secure sketches, cancelable biometrics, physical unclonable functions (PUFs), and secure key-storage architectures…
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About this guide
The book covers:
- Biometrics as Noisy Secrets
- Fuzzy Extractors & Secure Sketches
- Cancelable & Homomorphic Template Protection
- Physical Unclonable Functions (PUFs)
- Secure Key Storage
- Anti-Counterfeiting
- Threat Models, Attacks & Standards
- Implementation & Future Directions
It is written for engineers, product managers, and security architects who need practical guidance for designing biometric authentication, hardware-rooted security, and anti-counterfeiting systems.
