| Title | Statistical Analysis of Pseudorandom Sequences and Stegocontainers |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Sharipov, B. R., Perukhin, M. Yu., Mullayanov, B. I. |
| Conference Name | 2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) |
| Keywords | composability, compositionality, cryptography, Generators, Industrial engineering, Manufacturing, NIST, pseudorandom sequences, pubcrawl, statistical analysis, TestU01, theoretical cryptography, web services |
| Abstract | In the theoretical part of the paper, the scope of application of pseudorandom numbers and methods of their generation, as well as methods of statistical testing of pseudorandom sequences (PS) are considered. In the practical part of the work, the quality of PS obtained by Mersenne Twister [1] generator and the cryptographic generator of the RNGCryptoServiceProvider class of the. NET platform is evaluated. Based on the conducted research, the results of testing are obtained, which show that the quality of pseudorandom sequences generated by the cryptographic random number generator is higher than PS generated by Mersenne Twister. Additionally, based on statistical analysis by NIST and TestU01, a study is conducted in an attempt to establish the statistical indistinguishability of sets of empty- and stegocontainers created using a two-dimensional associative masking mechanism [2-4] based on a gamma of at least 500 KB in length. Research work was carried out under the guidance of R.F. Gibadullin, Associate Professor of the Department of Computer Systems of Kazan National Research Technical University named after A.N.Tupolev-KAI. |
| DOI | 10.1109/ICIEAM51226.2021.9446328 |
| Citation Key | sharipov_statistical_2021 |
Statistical Analysis of Pseudorandom Sequences and Stegocontainers