Application of artificial intelligence for improving situational training of cybersecurity specialists

- Shchavinsky, Yurii V. (orcid.org/0000-0002-2319-8983), Muzhanova, Tetiana M. (orcid.org/0000-0002-7435-0287), Yakymenko, Yuriy M. (orcid.org/0000-0002-6848-852X) and Zaporozhchenko, Mykhailo M. (orcid.org/0000-0003-0182-9497) (2023) Application of artificial intelligence for improving situational training of cybersecurity specialists Information Technologies and Learning Tools, 5 (97). pp. 215-226. ISSN 2076-8184

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Abstract

The article identifies the problem of the need for continuous development and improvement of practical skills for cybersecurity professionals due to the constant growth and evolution of threats to information and cyber security for organizations, businesses, society, and the state. The relevance of implementing innovative technologies to improve the methods of developing technical and managerial competencies of cybersecurity specialists in higher education institutions is justified in accordance with the strategic direction of education reform in Ukraine. The relevance of developing the ability and skills for cybersecurity professionals to respond promptly to threats is associated with the use of artificial intelligence by cybercriminals. The analysis conducted in this work allowed us to conclude the need for improvement of the situational teaching method as one of the main ways to develop the competencies of students majoring in Cybersecurity and Information Security in higher education institutions. One of the ways to improve the method is to use artificial intelligence tools in creating various types of tasks for classes. To create educational situations and options for resolving conflicting situations in cybersecurity management and cyber incidents with the aim of developing skills in future cybersecurity managers to make timely, correct, and effective decisions, it proposed to use the artificial intelligence tool - the ChatGPT language model. Thanks to its excellent capabilities, which include summarizing and analyzing articles, encoding, debugging, and generating thematic blocks of situations, it represents significant progress in the field of artificial intelligence. The application of ChatGPT allowed the creation of the necessary number of situational tasks with options for correct solutions in a short time, covering all areas of activity for cybersecurity specialists. However, during the research, there was a need for critical evaluation and verification of the information provided by the model for compliance with the context and rules, laws, and ethical norms that apply in each specific situation. This issue addressed by refining and specifying the request to the ChatGPT language model to generate situations.

Item Type: Article
Keywords: information technologies; cyber security; professional competencies in cyber security; situational learning; artificial intelligence.
Subjects: Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.4 Software > 004.49 Computer infections
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques )
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.02 General questions of didactics and method
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions: Institute for Digitalisation of Education > Generic resouse
Depositing User: Алла 1 Алла Почтарьова
Date Deposited: 06 May 2024 07:23
Last Modified: 06 May 2024 07:23
URI: https://lib.iitta.gov.ua/id/eprint/740661

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