all InfoSec news
Robust and Reusable Fuzzy Extractors for Low-entropy Rate Randomness Sources
May 8, 2024, 4:10 a.m. | Somnath Panja, Shaoquan Jiang, Reihaneh Safavi-Naini
cs.CR updates on arXiv.org arxiv.org
Abstract: Fuzzy extractors (FE) are cryptographic primitives that extract reliable cryptographic key from noisy real world random sources such as biometric sources. The FE generation algorithm takes a source sample, extracts a key and generates some helper data that will be used by the reproduction algorithm to recover the key. Reusability of FE guarantees that security holds when FE is used multiple times with the same source, and robustness of FE requires tampering with the helper …
algorithm arxiv biometric cryptographic cs.cr data entropy extract key low noisy random randomness rate real sample world
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Information Security Engineers
@ D. E. Shaw Research | New York City
Technology Security Analyst
@ Halton Region | Oakville, Ontario, Canada
Senior Cyber Security Analyst
@ Valley Water | San Jose, CA
Security Operations Vice President - Content Developer
@ JPMorgan Chase & Co. | Jersey City, NJ, United States
Computer and Forensics Investigator
@ ManTech | 221BQ - Cstmr Site,Springfield,VA
Senior Security Analyst
@ Oracle | United States