Chaos-based random number generators. Part II: practical realization
By T. Stojanovski, J. Pihl, Ljupco Kocarev. 2001
305 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/7e737736bdac12734c65f8ef83cba4d0ebc5ec6b
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In Computational Theory and Mathematics
In Computer Vision and Pattern Recognition
In Statistical and Nonlinear Physics
Citations in the corpus
- Quantum random number generators (2016, background): “Alternatively, there are physical TRNGs based on different principles, such as chaotic systems (Stojanovski and Kocarev, 2001; Stojanovski et al., 2001), thermal noise in electronic circuits (Murry, 1970; Petrie and Con- 4 nelly, 2000), free running oscillators (Kohlbrenner and Gaj, 2004), or…”
- A High-Speed Oscillator-Based Truly Random Number Source for Cryptographic Applications on a Smart Card IC (2003, background): “Few noise-based IC RNG designs are reported in the literature due to the classified nature of most researches in this field; however, three different techniques for generating random streams are widely exploited: direct amplification of a noise source [8], [9], jittered oscillator sampling [10], [11”