Algorithm for Recognition of Network Traffic Anomalies Based on Artificial Intelligence

Laptiev, Oleksandr; Musienko, Andrii; Nakonechnyi, Volodymyr; Sobchuk, Andrii; Gakhov, Sergii; Kopytko, Serhii

doi:10.1109/hora58378.2023.10156702

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…Yevseiev, [17], and A.P. Musienko [18], respectively. The stability of the information system, in terms of functioning with the conditions of external and internal destabilizing factors, was studied in [19].…”

Section: Literature Analysismentioning

confidence: 99%

Mathematical Model of Cyber Risks Management Based on the Expansion of Piecewise Continuous Analytical Approximation Functions of Cyber Attacks in the Fourier Series

Sobchuk,

Barabash,

Musienko

et al. 2023

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The comprehensive system of information security of an enterprise includes both tactical aspects of information and strategic priorities, reflecting the information policy and information strategy of the enterprise. Ensuring a given level of cybersecurity requires the identification of threat actors, their purpose, intentions of attacks on the IT infrastructure, and weak points of the enterprise’s information security. To achieve these goals, enterprises need new information security solutions. In this work, a mathematical model of the process of cyber risk management in the enterprise, which is based on the distribution of piecewise continuous analytical approximating functions of cyber attacks in the Fourier series, is obtained. A constant continuous monitoring and conduction of cyber regulatory control of the enterprise on time makes it possible to effectively ensure the cybersecurity of the enterprise in real time—predicting the emergence of cyber threats to some extent—which, in turn, determines the management of cyber risks arising in the field of information security of the enterprise. Such a Fourier series expansion of the piecewise continuous analytical approximating function of the intensity of cyber attacks on damage to standard software, obtained by approximating empirical–statistical slices of the intensity of cyber attacks on damage to standard software for each time period by analytical functions, opens up new mathematical possibilities of transition to systems of regulatory control of cyber threats of the enterprise from discrete to continuous automated process for such types of control.

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Section: Literature Analysismentioning

confidence: 99%

Mathematical Model of Cyber Risks Management Based on the Expansion of Piecewise Continuous Analytical Approximation Functions of Cyber Attacks in the Fourier Series

Sobchuk,

Barabash,

Musienko

et al. 2023

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Adversarial Attacks on Generative AI Anomaly Detection in the Quantum Era

Ebenezer,

Isaac

et al. 2023

2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

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Approximation of Functions of the Classes CβψHα by Linear Methods Summation of Their Fourier Series

Kharkevych,

Kal’chuk

2023

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In this paper, we considered arbitrary linear summation methods of Fourier series specified by a set of continuous functions dependent on the real parameter and established their approximation properties. We obtained asymptotic formulas for the exact upper bounds of the deviations of operators generated by λ-methods of Fourier series summation from the functions of the classes CβψHα under certain restrictions on the functions ψ.

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Algorithm for Recognition of Network Traffic Anomalies Based on Artificial Intelligence

Cited by 4 publications

References 18 publications

Mathematical Model of Cyber Risks Management Based on the Expansion of Piecewise Continuous Analytical Approximation Functions of Cyber Attacks in the Fourier Series

Mathematical Model of Cyber Risks Management Based on the Expansion of Piecewise Continuous Analytical Approximation Functions of Cyber Attacks in the Fourier Series

Adversarial Attacks on Generative AI Anomaly Detection in the Quantum Era

Approximation of Functions of the Classes CβψHα by Linear Methods Summation of Their Fourier Series

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