Open Access
Issue |
MATEC Web Conf.
Volume 125, 2017
21st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)
|
|
---|---|---|
Article Number | 02018 | |
Number of page(s) | 6 | |
Section | Systems | |
DOI | https://doi.org/10.1051/matecconf/201712502018 | |
Published online | 04 October 2017 |
- B. Schneier, Applied Cryptography, Second Edition: Protocols, Algorthms, and Source Code in C, Wiley Computer Publishing, John Wiley & Sons, Inc., 784 (1996) [Google Scholar]
- G. Marsaglia, Random number generators. Journal of Modern Applied Statistical Methods. 2, 2–13 (2003) [CrossRef] [Google Scholar]
- W. Hörmann, J. Leydold, G. Derflinger, Automatic Nonuniform Random Veriate Generation. Spr.-Verl., New York, (2004) [CrossRef] [Google Scholar]
- E.V. Chugunkov, Methods and tools to evaluate the quality of pseudo-random sequence generators, focused on solving problems of information security: Textbook/M.: NEYAU MIFI, 236 (2012) [Google Scholar]
- M. Matsumoto, T. Nishimura, M. Hadita, M. Saito. Cryptographic Mersenne Twister and Fubuki Stream/Block Cipher. (2005) [Google Scholar]
- A. Tanvir, R. Md. Mahbubur. The Hybrid Pseudo Random Nimber Generator. Inter. Jour. of Hybr. Inform. Tech. 3(1), 299–312 (2016) [Google Scholar]
- A. Fog. Pseudo-Random Number Generators for vector Processor and Multicore Processors. Journ. of Mod. Appl. Stat. Methods. 14(1), 308–334 (2015) [CrossRef] [Google Scholar]
- S. Wolfram, Cryptography with cellular automata. Lect. Not. in Comp. Scien., 218, p. 429–432 (1986) [CrossRef] [Google Scholar]
- S. Bilan, M. Bilan, S. Bilan, Novel pseudo-random sequence of numbers generator based cellular automata. Inf. Techn. and Sec. 3, № 1, 38–50 (2015) [Google Scholar]
- C. Fraile Ruboi, L. Hernandez Encinas, S. Hoya White, A. Martin del Rey, Rodrigues Sancher, The use of Linear Hybrid Cellular Automata as Pseudorandom bit Generators in Cryptography. Neu. Par. & Scien. Comp. 12(2), p. 175–192 (2004) [Google Scholar]
- K. Bhattachrjee, D. Paul, S. Das. Pseudorandom Pattern Generation Using 3-State Cellular Automata. In: S. EI Yacoubi, J. Was, S. Bandini (eds). Cellular Automatar. ACRI 2016. Lect. Not. in Comp. Scien. 9863, 3–13 (2016) [CrossRef] [Google Scholar]
- G. Sh. Sirakoulis. Parallel Application of Hybrid DNA Cellular Automata for Pseudorandom Number Generation. JCA. 11(1), 63–89 (2016) [Google Scholar]
- B. Martin, P. Sole, Pseudo-random Sequences Generated by Cellular Automata“. International Conference on Ralations, Orders and Graphs: Interaction with Computer Scince, May 2008, Mandia, Tunisia, Nouha editions, p. 401–410 (2008) [Google Scholar]
- S. Bilan, M. Bilan, R. Motornyuk, A. Bilan, S. Bilan, Research and Analysis of the Pseudorandom Number Generators Implemented on Cellular Automata, WSEAS TRANS. on SYS., 15, p. 275–281. (2016) [Google Scholar]
- J. Walker, ENT. A Pseudorandom Number Sequence Test Program.- [electronic resource]. January 28th, 2008. http://www.fourmilab.ch/random [Google Scholar]
- NIST.- National institute of standarts and technology. Computer security division. Computer security resource center.- Download Documentation and Software.: http://csrc.nist.gov/groups/ST/toolkit/rng/documentation_software.html [Google Scholar]
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