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September 5, 2025VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MANAGEMENT COMPUTER SCIENCE AND INFORMATICSOpen Access

Features of assessing and forecasting the critical infrastructure facilities level of security with components of the Internet of Things technology based on catastrophe theory methods

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Authors

IKIgor KotenkoRussian Academy of Sciences DLDmitry LevshunRussian Academy of Sciences IPIgor ParashchukRussian Academy of Sciences

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Implication

Observational analysis predicts security level in critical infrastructure objects using IoT technology, highlighting its effectiveness in threat assessments.

Key Points

The approach predicts the security level of critical infrastructure objects, revealing its adaptability to changes in external conditions.
It utilizes methods of catastrophe theory, specifically focusing on bifurcations to detail state transitions in security levels.
The algorithm is designed to monitor the intensity of computer attacks, aiding in the identification of potentially dangerous security states.
Experimental calculations demonstrate its application in forecasting security levels, which may enhance preventive measures against threats.

Cite This Study

Kotenko et al. (2025) studied this question.

synapsesocial.com/papers/68bb5f266d6d5674bcd03134 https://doi.org/10.24143/2072-9502-2025-3-70-77

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Implication

Observational analysis predicts security level in critical infrastructure objects using IoT technology, highlighting its effectiveness in threat assessments.

Features of assessing and forecasting the critical infrastructure facilities level of security with components of the Internet of Things technology based on catastrophe theory methods

Discussion

Member takes

Implication

Key Points

Cite This Study

Features of assessing and forecasting the critical infrastructure facilities level of security with components of the Internet of Things technology based on catastrophe theory methods

Discussion

Member takes

Implication

Key Points

Cite This Study

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