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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Применение статистических тестов NIST для анализа выходных последовательностей блочных шифров

Научный вестник Новосибирского государственного технического университета. 2019. Т. 76. № 3. С. 87–96.
Perov A.

Modern iterative block ciphers are one of the most popular methods for providing a secure information exchange in internet networks. A widespread use of this technology and the development of computing power give rise to a whole list of threats to cryptanalysis of ciphers. Ensuring cryptographic security is in this case one of the key aspects of the cryptographic algorithm, but cryptographic security is impossible without providing satisfactory statistical properties since a number of attacks on block ciphers are based on statistical vulnerabilities of the output sequence. The designers of the cryptographic algorithms used today have established a certain margin when choosing the characteristics of the cipher, while the output sequence of many algorithms becomes indistinguishable from the random sequence for less than the total number of encryption rounds. Some reduction of such a parameter of the block cipher as the number of rounds will provide satisfactory statistical properties while increasing the speed of the algorithm. To check the statistical properties of the cipher statistical analysis is carried out using specialized tests, which, as a rule, involve a number of difficulties. This article describes the task of analyzing the output of block cipher sequences in order to find the optimal (minimum) number of encryption rounds, in which the cipher text is indistinguishable from the random one. The basic principles of the statistical tests are also described.

The technology of ensuring the interaction of implementations of statistical tests and cryptoalgorithms, which is proposed and implemented by the author by means of programming languages, is described. New, obtained as a result of experiments characteristics of work for algorithms from the CPPCRYPTO library are demonstrated.

Research target: Computer Science
Language: Russian
DOI
Text on another site
Keywords: статистический анализкриптографияcryptographystatistical testsстатистические тесты statistical analysisключkeyabstracts, keywords, full papers, peer-reviewblock ciphersencryption rounditerative block algorithmslightweight ciphersитеративные криптографические алгоритмыблочные шифрылегковесные шифрыраунд шифрования
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