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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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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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