THE GENERATING RANDOM SEQUENCES WITH THE INCREASED CRYPTOGRAPHIC STRENGTH
Volodymyr Korchynskyi
vladkorchin@ukr.netOdessa National Academy of Telecommunication named after O.S. Popov, Institute of Radio, Television and Information Security, Department of Information Security (Ukraine)
http://orcid.org/0000-0003-3972-0585
Vitalii Kildishev
Odessa National Academy of Telecommunication named after O.S. Popov, Institute of Radio, Television and Information Security, Department of Information Security (Ukraine)
http://orcid.org/0000-0002-7121-4060
Oleksandr Riabukha
Odessa National Academy of Telecommunication named after O.S. Popov, Institute of Radio, Television and Information Security, Department of Information Security (Ukraine)
http://orcid.org/0000-0001-7402-0395
Oleksandr Berdnikov
Odessa National Academy of Telecommunication named after O.S. Popov, Institute of Radio, Television and Information Security, Department of Information Security (Ukraine)
http://orcid.org/0000-0003-0058-9997
Abstract
Random sequences are used in various applications in construction of cryptographic systems or formations of noise-type signals. For these tasks there is used the program generator of random sequences which is the determined device. Such a generator, as a rule, has special requirements concerning the quality of the numbers formation sequence. In cryptographic systems, the most often used are linearly – congruent generators, the main disadvantage of which is the short period of formation of pseudo-random number sequences. For this reason, in the article there is proposed the use of chaos generators as the period of the formed selection in this case depends on the size of digit net of the used computing system. It is obvious that the quality of the chaos generator has to be estimated through a system of the NIST tests. Therefore, detailed assessment of their statistical characteristics is necessary for practical application of chaos generators in cryptographic systems. In the article there are considered various generators and there is also given the qualitative assessment of the formation based on the binary random sequence. Considered are also the features of testing random number generators using the system. It is determined that not all chaos generators meet the requirements of the NIST tests. The article proposed the methods for improving statistical properties of chaos generators. The method of comparative analysis of random number generators based on NIST statistical tests is proposed, which allows to select generators with the best statistical properties. Proposed are also methods for improving the statistical characteristics of binary sequences, which are formed on the basis of various chaos generators.
Keywords:
dynamic chaos, generator, sequence, encryptionReferences
Ipatov V. P.: Broadband Systems and Code Separation of Signals. Principles and Applications. Tech-Nosfera, Moscow 2007.
Google Scholar
Knuth D.: The Art of Programming. 2nd ed, Williams, 2000.
Google Scholar
Korchynskyi V., Filkin K.: Analysis of Models of Primary Sensors of Pseudo-random Numbers. Mater. II sciences.-practical. Semіn. young science students and students of the Advanced Telecommunications Technology and Information Technology, 2007, 20–24.
Google Scholar
Korchynskyi V.: A Method of Increasing the Secrecy of Transmission by Timer Signals in Communication Systems with Code Division of Channels, VISNIK of the V. Dahl East Ukrainian National University 15(204)/2013, 93–99.
Google Scholar
Korchynskyi V: A Model of a Noise Signal for Transmitting Confidential Information. Bulletin of NTU "KhPI" 11(985)/2013, 89–94.
Google Scholar
Kupriyanov A. I., Sakharov A.: Theoretical Foundations of Electronic Warfare, University Book, Moscow 2007.
Google Scholar
Kuznetsov S. P.: Dynamic Chaos. Physico-mathematical literature, 2006.
Google Scholar
Zakharchenko M., Korchynskyi V.: Transmission Secrecy in Communication Systems with Chaotic Signals Measuring and enumerated technology in technological processes. International science and technology technical magazine 3/2013, 161–164.
Google Scholar
Authors
Volodymyr Korchynskyivladkorchin@ukr.net
Odessa National Academy of Telecommunication named after O.S. Popov, Institute of Radio, Television and Information Security, Department of Information Security Ukraine
http://orcid.org/0000-0003-3972-0585
Authors
Vitalii KildishevOdessa National Academy of Telecommunication named after O.S. Popov, Institute of Radio, Television and Information Security, Department of Information Security Ukraine
http://orcid.org/0000-0002-7121-4060
Authors
Oleksandr RiabukhaOdessa National Academy of Telecommunication named after O.S. Popov, Institute of Radio, Television and Information Security, Department of Information Security Ukraine
http://orcid.org/0000-0001-7402-0395
Authors
Oleksandr BerdnikovOdessa National Academy of Telecommunication named after O.S. Popov, Institute of Radio, Television and Information Security, Department of Information Security Ukraine
http://orcid.org/0000-0003-0058-9997
Statistics
Abstract views: 326PDF downloads: 8627
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.