2004/12/10 by Song-Ju Kim, Kim, Song-Ju, Ken Umeno +1
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Cellular Automata and Applications #Cellular Automata and Lattice Gases (nlin.CG) #Chaos-based Image/Signal Encryption #Chaotic Dynamics (nlin.CD) #DNA and Biological Computing #FOS: Physical sciences #nlin.CD #nlin.CG
paper · pdf · doi:10.48550/arxiv.nlin/0412028
to be published in Journal of Signal Processing
arxiv created 2004/12/10 · openalex publication_date 2004/12/10 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We shall review the cellular automaton(CA)-based pseudorandom-number generators (PRNGs), and show that one of these PRNGs can generate high-quality random numbers which can pass all of the statistical tests provided by the National Institute of Standards and Technology (NIST). A CA is suitable for hardware implementation. We demonstrate that the CA-based stream cipher, which is implemented in the field-programmable gate arrays (FPGA), has a high encryption speed in a real-time video encryption and decryption system.