Taxonomy of security threats to machine learning models in environmental monitoring systems with quantitative assessment of attack scenarios | Kozachok | Russian Technological Journal

Russian Technological Journal
Rossiiskii Tekhnologicheskii Zhurnal

ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)

eng | рус

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Kozachok A.V., Noev A.N., Matyukhina E.N. Taxonomy of security threats to machine learning models in environmental monitoring systems with quantitative assessment of attack scenarios. Russian Technological Journal. 2026;14(5):26-40. https://doi.org/10.32362/2500-316X-2026-14-5-26-40. EDN: WXRQJG

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ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)

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About the Authors

A. V. Kozachok
MIREA – Russian Technological University
Russian Federation

Andrey V. Kozachok, Cand. Sci. (Eng.), Associate Professor

Institute of Cybersecurity and Digital Technologies; Department of Intelligent Information Security Systems

119454; 78, Vernadskogo pr.; Moscow

A. N. Noev
MIREA – Russian Technological University
Russian Federation

Artem N. Noev, Cand. Sci. (Eng.), Acting Head of the Department

Institute of Cybersecurity and Digital Technologies; Department of Intelligent Information Security Systems

119454; 78, Vernadskogo pr.; Moscow

E. N. Matyukhina
MIREA – Russian Technological University
Russian Federation

Ekaterina N. Matyukhina, Cand. Sci. (Eng.), Associate Professor

Institute of Cybersecurity and Digital Technologies; Department of Intelligent Information Security Systems

119454; 78, Vernadskogo pr.; Moscow

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