Please use this identifier to cite or link to this item: https://irek.ase.md:443/xmlui/handle/123456789/3201
Title: The impact of martial law on the organization's information security
Authors: Synytsina, Yuliia
Keywords: Artificial Intelligence
Information Technology
informational security
economic security
Issue Date: 2024
Publisher: SEP ASEM
Abstract: The article examines the problem of the development of information and analytical activity (IAD) in domestic state and commercial institutions, which leads to the constant improvement of information security issues, which in turn is closely related to issues of economic security. Based on the results of the study, the analysis model was clarified and the practical aspects of the application of neural networks (NN) in the marketing information system (MIS) of the enterprise were clarified with the aim of improving the information system of the enterprise by implementing an intelligent decision support system (IDSS) using a neural network, as well as the concept of modeling the behavior of interacting agents, the basis of which is a three-level structure of modeling subjects and business processes of the contours of the organization's functioning and the security system, based on the modeling of the behavior of antagonistic agents. Modern trends and directions in the field of information security of state and commercial institutions of the present and the near future, which in one form or another use artificial intelligence in their arsenal, are defined, such as EDR / XDR solutions for end hosts, UEBA, SGRC products, Honey Tokens and other developments of the Deception class, IRP (Incident Response), TI- / TH-platforms, etc. UDC: 004.056:004.8. JEL: K24, F52. DOI: https://doi.org/10.53486/escst2023.20.
Description: SYNYTSINA, Yuliia. The impact of martial law on the organization's information security. In: Economic Security in the Context of Systemic Transformations [online]: Proceedings of International Conference, 3nd Edition, December 7-8, 2023. Chişinău: SEP ASEM, 2024, pp. 169-172. ISBN 978-9975-167-43-7 (PDF).
URI: https://irek.ase.md:443/xmlui/handle/123456789/3201
Appears in Collections:2.Articole

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