A High-Speed Oscillator-Based Truly Random Number Source for Cryptographic Applications on a Smart Card IC

By M. Bucci, L. Germani, R. Luzzi, A. Trifiletti, M. Varanonuovo. IEEE Trans. Computers, 2003

396 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/ebaf8b1e89dd59ff64d02463a03b281087ade6c4

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. Qing Wu

In Computational Theory and Mathematics

1. S. Savel’ev

In Computer Vision and Pattern Recognition

1. Qing Wu

Citations in the corpus

• A novel true random number generator based on a stochastic diffusive memristor (2017, background): “For example, thermal noise is often exploited by TRNGs via oscillator jitter 4 , resistor-ampli fi er-Analog/Digital converter chains 5 , or metastable elements with capacitive feed-back 6 .”
• Fast physical random bit generation with chaotic semiconductor lasers (2008, methodology): “Random phenomena such as photon noise, thermal noise in resistors and frequency jitter of oscillators have been used as physical entropy sources for non-deterministic bit generation in combination with deterministic pseudo-random number generators [12-17].”