INTEGRATING MODERN CRYPTOGRAPHIC AND ARTIFICIAL INTELLIGENCE-BASED APPROACHES IN INFORMATION SYSTEM SECURITY

Authors

  • Gófurova Muxlisa Gúlom qizi 2nd-Year Student, Information Systems and Technologies Faculty of Economics and Pedagogy Tashkent Social Innovation University

DOI:

https://doi.org/10.17605/

Keywords:

Information security, cryptography, artificial intelligence, TLS protocol, post-quantum cryptography, machine learning, federated learning, NIST standards, hybrid cryptography, cybersecurity integration.

Abstract

Modern information systems face a dual threat: conventional cyberattacks and the future threat of quantum computing. This paper analyzes, using the IMRAD method, two key directions in information system protection — modern cryptographic algorithms (AES, TLS, post-quantum NIST standards) and AI-based cybersecurity systems (ML, deep learning, federated learning) — in an integrated framework. Based on research findings, a comprehensive model for integrating these approaches is proposed. In the context of Presidential Decrees PQ-293 (2024), PF-37 (2024), and PQ-358 (2024) of the Republic of Uzbekistan, a four-stage roadmap for strengthening the national information security system is developed.

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Published

2026-05-08

Issue

Vol. 7 No. 5 (2026): It.academiascience

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

INTEGRATING MODERN CRYPTOGRAPHIC AND ARTIFICIAL INTELLIGENCE-BASED APPROACHES IN INFORMATION SYSTEM SECURITY. (2026). Innovative Technologica: Methodical Research Journal, 7(5), 1-9. https://doi.org/10.17605/