Method for Improving the Statistical Properties of Pseudo-random Number Generators
The article is devoted to the issues of increasing the statistical safety of pseudo-random number generators by equalizing the properties of the generated sequences. The traditional generator structure assumes two stages: the first provides good statistical properties and a long period of the formed...
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| Published in: | IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference pp. 206 - 209 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.01.2019
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| Subjects: | |
| ISSN: | 2376-6565 |
| Online Access: | Get full text |
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| Abstract | The article is devoted to the issues of increasing the statistical safety of pseudo-random number generators by equalizing the properties of the generated sequences. The traditional generator structure assumes two stages: the first provides good statistical properties and a long period of the formed sequence, the second is responsible for unpredictability and cryptographic resistance. In this case, the second stage can lead to deterioration in the statistical properties of the sequence formed by the generator. An approach based on adding to the traditional two-stage generators architecture of third-stage is considered. A variant of the third stage construction is proposed. The possibilities of applying the proposed approach to improve the statistical properties of modern ciphers are described. The results of statistical properties researches of the generators with implemented third stage are given. |
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| AbstractList | The article is devoted to the issues of increasing the statistical safety of pseudo-random number generators by equalizing the properties of the generated sequences. The traditional generator structure assumes two stages: the first provides good statistical properties and a long period of the formed sequence, the second is responsible for unpredictability and cryptographic resistance. In this case, the second stage can lead to deterioration in the statistical properties of the sequence formed by the generator. An approach based on adding to the traditional two-stage generators architecture of third-stage is considered. A variant of the third stage construction is proposed. The possibilities of applying the proposed approach to improve the statistical properties of modern ciphers are described. The results of statistical properties researches of the generators with implemented third stage are given. |
| Author | Baranova, Elena A. Gulyaev, Vadim A. Chugunkov, Vladimir I. Chugunkov, Ilya V. |
| Author_xml | – sequence: 1 givenname: Ilya V. surname: Chugunkov fullname: Chugunkov, Ilya V. organization: Department of Computer Systems and Technologies, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia – sequence: 2 givenname: Vadim A. surname: Gulyaev fullname: Gulyaev, Vadim A. organization: Department of Computer Systems and Technologies, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia – sequence: 3 givenname: Elena A. surname: Baranova fullname: Baranova, Elena A. organization: Department of Computer Systems and Technologies, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia – sequence: 4 givenname: Vladimir I. surname: Chugunkov fullname: Chugunkov, Vladimir I. organization: High temperature technologies energetics department, National Research University MPEI (Moscow Power Engineering Institute), Moscow, Russia |
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| Snippet | The article is devoted to the issues of increasing the statistical safety of pseudo-random number generators by equalizing the properties of the generated... |
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| StartPage | 206 |
| SubjectTerms | block ciphers Ciphers Cryptographic protocols Generators Information security pseudo-random number generators random sequence Random sequences statistical testing stochastic algorithms of information security Task analysis |
| Title | Method for Improving the Statistical Properties of Pseudo-random Number Generators |
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