Anastasia Malashina

2024

Dissertation Development of methods and algorithms for analyzing the characteristics of natural language texts based on the information theory approach and application to information security tasks

Journal Article Doklady Mathematics, Vol. 108, No. 2, pp. S282-S292 Possibility of Recovering Message Segments Based on Side Information about Original Characters DOI: 10.1134/S106456242370151X

2021

Journal Article Baltic Journal of Modern Computing, Vol. 9, No. 3, pp. 363-376 The Combinatorial Analysis of n-Gram Dictionaries, Coverage and Information Entropy based on the Web Corpus of English DOI: 10.22364/bjmc.2021.9.3.09

Conference Presentation Entropy 2021: The Scientific Tool of the 21st Century, Porto, Portugal Entropy analysis of n-grams and estimation of the number of meaningful language texts Published in: Conference Proceedings Book, MDPI Open Access Publishing, pp. 106-106 DOI: 10.3390/Entropy2021-09757 | Presentation (PDF)

Conference Presentation Algebra, Number Theory and Discrete Geometry: Modern Problems, Applications and Problems of History, Tula The construction and analysis of the Russian language models for a cryptographic algorithm research Published in: V. N. Chubarikov et al. (Eds.), TSPU, pp. 181-185

• The winner within the framework of the conference "RusCrypto 2021"
• Two-time winner of the HSE Olympiad for students and graduates "Higher League" - "Information Security Management" (2017 and 2018)
• Young Faculty Support Programme (Group of Young Academic Professionals) Category "New Researchers" (2023-2024)

HSE Centre for Strategic Analysis and Big Data ISSEK

Expert

August 2023 — to date

• expert-analytical, scientific and methodological support in the interests of the Government of the Russian Federation
• implementation of projects and research on the digital economy (review of world experience, description of trends and best practices in the use of digital technologies, assessment of effects and risks, forecasts of technological development, etc.)
• preparation of analytical materials on the following topics: digital technologies (quantum technologies, artificial intelligence, big data, Internet of Things, etc.), digital transformation of industries (including fuel and energy complex, industry, financial sector, etc.)

HSE Laboratory of Research of Science and Technology ISSEK

Research Fellow

January 2025 — To date

• preparation of standard analytical products that can be sold to various customers
• research in the field of Deep Tech
• participation in the development of the for system (including in terms of corpus research, mat. models, etc.)
• preparation of express information
• supervision of interns/interns
• preparation of scientific publications in accordance with the position

Research Assistant

August 2021 — December 2024

• research of digital transformation processes in economic sectors
• analysis of technological trends (artificial intelligence, blockchain, quantum technologies, etc.)
• review of cases and world best practices in the use of digital technologies
• analysis of international ratings and Russia's place in them
• writing reports and analytical materials based on research results
• preparation of presentations, albums, digests and express with the main conclusions and ideas

• corpus linguistics
• natural language processing
• stream ciphers

2024 — Candidate of Sciences* (PhD)

HSE University

Thesis Title: Development of methods and algorithms for analyzing the characteristics of natural language texts based on the information theory approach for application to information security tasks

2023 — Doctoral programme

HSE University

2019 — Degree

HSE University

Computer Security (Honours degree)

**\*Candidate of Sciences**: According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

20 Apr 2021

**Researchers Develop a Programme to Find Cipher Vulnerabilities**

Anastasia Malashina, a doctoral student at HSE University, has proposed a new method to assess vulnerabilities in encryption systems, which is based on a brute-force search of possible options of symbol deciphering. The algorithm was also implemented in a programme, which can be used to find vulnerabilities in ciphers. The results of the study were published in a paper 'Software development for the study of natural language characteristics'.

30 Mar 2021

**In Plain Text: HSE MIEM Doctoral Student Wins a RusCrypto Competition**

At the 2021 RusCrypto Competition, HSE PhD student Anastasia Malashina (MIEM) won the student report category by the unanimous decision of the competition committee, which included the directors of the RusCrypto-2021 Association, members of the programme committee, and experts in the field of computer security. Anastasia spoke with HSE News Service about her presentation.

Introduction to Information Security (2025/2026)

Bachelor's Programme in Business Informatics HSE Graduate School of Business, Department of Business Informatics

• Level: 4th year, Module 1
• Type: Compulsory course
• Language: Russian
• Credits: 3 ECTS (30 contact hours)
• Co-instructors: V. O. Karasev, D. V. Bakhaev
• Open to: Students of all HSE University campuses

Course page