PUFKY: A Fully Functional PUF-Based Cryptographic Key Generator

By Roel Maes, A. V. Herrewege, Ingrid M. R. Verbauwhede. Workshop on Cryptographic Hardware and Embedded Systems, 2012

322 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Hardware and Architecture, Signal Processing

View Paper: https://www.semanticscholar.org/paper/03c857ecdb86724133b2a473ce5d99f34a4e83c1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ahmad-Reza Sadeghi
2. Yansong Gao
3. Said F. Al-Sarawi
4. Derek Abbott
5. V. Varadharajan
6. Roel Maes
7. David E. Evans
8. Thomas Schneider

In Hardware and Architecture

1. Ahmad-Reza Sadeghi
2. Roel Maes
3. Said F. Al-Sarawi
4. Derek Abbott
5. Yansong Gao

In Signal Processing

1. Ahmad-Reza Sadeghi
2. Roel Maes
3. Yansong Gao
4. Said F. Al-Sarawi
5. Derek Abbott
6. V. Varadharajan

Citations in the corpus

• Physically Unclonable Functions (2012, methodology): “In [92], we propose to use a Lehmer encoding [81, 129] to represent the ascending order of a vector of simultaneously measured frequencies, followed by a Gray encoding [49] of the Lehmer coefficients.”
• TrustLite: a security architecture for tiny embedded devices (2014, background): “While a hash implementation (hardware or software) is not strictly required by TrustLite, there is ample base cost margin to absorb a hardware hash such as Spongent, which has been shown to consume 22 Spartan-6 slices in a representative implementation [30].”
• Physical unclonable functions (2020, methodology): “These two components together are usually referred to as a fuzzy extractor 27,28 .”