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Implementation of modified additive lagged Fibonacci generator

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Generator of pseudorandom bit sequence with increased cryptographic security, which is based on additive lagged Fibonacci generator, is developed. The generator structure circuit and it work principle are described in the paper. There are also given two variants of it construction that are formed on programmable logic device developed by Xilinx company. The main generator characteristics are researched, in particular: recurrence period, fastacting, statistical characteristics. In relation to the last the statistical portrait is presented, that was built with the help of NIST tests.
Rocznik
Strony
3--6
Opis fizyczny
Bibliogr. 9 poz., rys., wykr., tab.
Twórcy
  • Lviv State University of Life Safety, Department of Information Security Menegment Kleparivska street 35, Lviv, Ukraine
  • Lviv Polytechnic National University, Department of Security of Information Technologies S. Bandery street 12, Lviv, Ukraine
  • Lviv Polytechnic National University, Department of the Information Security S. Bandery street 12, Lviv, Ukraine
autor
  • Lviv Polytechnic National University, Department of Security of Information Technologies S. Bandery street 12, Lviv, Ukraine
Bibliografia
  • [1] Gorbenko I.D., Gorbenko Yu. L. Applied cryptology: Theory. Practice. Application: monography. Kharkiv, Fort, 2012, 880 p.
  • [2] Ivanov M. A., Chugunkov I. V. Kriptograficheskie me - tody zashchity informatsii v komp’yuternykh sistemakh i setyakh: uchebnoe posobie. Moscow, 2012, 400 p.
  • [3] Anderson P.A., Fibonacci-based pseudo-random number generator [web page] http://link.springer.com/ chapter/10.1007/978-94-011-3586-31/ [Accessed on 31 Sep. 2013.].
  • [4] Orue A. B., Montoya F., L. Hernández Encinas: Trifork, a New Pseudorandom Number Generator Based on Fibonacci Maps, Journal of computer science and engineering, Vo 1, issuex, xxx 2010, [web page] http://iliasistemas.com/descargas/TRIFORK.pdf/ [Accessed on 31 Sep. 2015.].
  • [5] Mandrona M.M., Maksimovich V.M., Kostiv Yu.M., Harasymchuk O.I., Modification Fibonacci generator, Journal of current information protection, Vo 2, pp. 56-62, May 2014.
  • [6] Mandrona M.M., Maksimovich V. M., Kostiv Yu. M., Harasymchuk O.I., Investigation of the influence of generator Gollmann parameters on the statistic characteristics of signal output, Visnik of Kremenchuk Mykhailo Ostrohradshyi National University, Kremenchuk, KrNU. No 4 (81), pp. 98-103, 2013.
  • [7] Mandrona M.M., Maksymovych V. M., Investigation of the Statistical Characteristics of the Modified Fibonacci Generators, Journal of Automation and Information Sciences/J AutomatInfScien.v46.i12.60, pp. 48-53, Dec. 2014
  • [8] Mandrona M.M., Kostiv Yu. M., Maksymovych V. M., Harasymchuk O. I., Generator of pseudorandom bit sequence with increased cryptographic security, Metallurgical and Mining Industry, No 5, Pp. 81-86, Dec. 2014.
  • [9] NIST SP 800-22. A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications. April, 2010.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-058b043e-e386-40c3-9e64-f423eb8c2bfe
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