Statistical properties of modern stream ciphers
Journal Title: КОМП’ЮТЕРНІ НАУКИ ТА КІБЕРБЕЗПЕКА - Year 2018, Vol 3, Issue 11
Abstract
In recent years, numerous studies of stream symmetric ciphers in Ukraine are continuing, the main purpose of which is to argue the principles of creating a new cryptographic algorithm, which can be based on the national standard. One of the essential aspects in choosing from many alternatives is the statistical properties of the output pseudorandom sequence (key stream). In this paper, the results of comparative studies of statistical properties of output sequences, which are formed by various stream ciphers, in particular, by world-known algorithms Enocoro, Decim, Grain, HC, MUGI, Mickey, Rabbit, RC-4, Salsa20, SNOW2.0, Sosemanuk, Trivium and the Ukrainian cryptographic algorithm Strumok, that was developed in recent years, are presented. For comparative studies, the NIST STS method was used, according to which experimental studies are performed in 15 statistical tests, the purpose of which is to determine the randomness of the output binary sequences. Each of the tests is aimed at studying certain vulnerabilities of the generator, that is, points to the potential usage of different methods of cryptographic analysis. Although each of the considered streaming encryption algorithms has been studied, we have carried out a statistical test of the generated pseudorandom sequences under equal conditions and with identical initial parameters, that is, our results allow us to perform a comparative analysis of ciphers and to justify the best of statistical properties. The estimates presented in the article, as expected, confirmed the high statistical security indexes of modern ciphers. In addition, according to the results of experimental research, it was found that the new Ukrainian development - the stream cipher Strumok does not yield to the best world algorithms in the statistical properties of the initial sequences.
Authors and Affiliations
Oleksii Nariezhnii, Egor Eremin, Vladislav Frolenko, Kyrylo Chernov, Tetiana Kuznetsova, Yevhen Demenko
Keywords
Related Articles
- EP ID EP434338
- DOI -
- Views 133
- Downloads 0
Probabilistic minutia distribution in biometric fingerprint images
The analysis of the fingerprint scanning results shows an extremely small degree of similarity among the obtained images. The cause of the problem mentioned above is not only the complexity of the procedure itself, but a...
Hiding data in the file structure
In this paper, the methods of steganography hiding of information in a file system structure is investigated. Namely, the structure of the FAT file system (File Allocation Table) and methods of hiding information message...
MATHEMATICAL MODEL FOR THE FINGERPRINT MINUTIAE DISTORTION
This paper involves the research of biometric fingerprint images, minutiae and the mathematical probabil-istic model of their distortion. The suggested model is based on heuristic analysis of the fingerprint scanning res...
АВТОМАТИЗОВАНИЙ ПОШУК ВРАЗЛИВОСТЕЙ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ ІЗ ЗАСТОСУВАННЯМ МЕТОДІВ ГЛИБИННОГО НАВЧАННЯ
Наведено теоретичну інформацію про тестування програмного забезпечення методом фаззінгу. Розглянуто технології навчання з підкріпленням та використання інтелектуального фаззінгу в процесі тес-тування програмного забезпеч...
О некоторых особенностях криптографических валют и их роли в современных финансовых системах
В работе представлена аргументация относительно места криптовалют в современной мировой финансовой системе. На основании прямых и косвенных данных показано, что криптовалюта всех видов содержит в себе определенные ри...