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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2024, Volume 34, Issue 3, Pages 23–34
DOI: https://doi.org/10.14357/08696527240303
(Mi ssi943)
 

Specific features of ensuring the functional safety of automated systems using artificial intelligence technology

V. E. Gavrilov, A. A. Zatsarinny

Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119133, Russian Federation
References:
Abstract: The article is devoted to the consideration of the features of ensuring the functional safety of automated systems both with and without the use of artificial intelligence technology. The factors affecting the quality of functional software in both cases are compared. It is shown that most of the attacks specific to artificial intelligence systems are blocked by standard means of protecting information from unauthorized access. The effectiveness of protection against an evasion attack is determined by the quality of the artificial intelligence system and the data used for training. For automated systems without the use of artificial intelligence technology, evasion attacks are also relevant and the effectiveness of protection against them is determined by the quality of functional software.
Keywords: artificial intelligence systems, information technology security, functional security, software quality, attacks, information protection.
Received: 15.06.2024
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. E. Gavrilov, A. A. Zatsarinny, “Specific features of ensuring the functional safety of automated systems using artificial intelligence technology”, Sistemy i Sredstva Inform., 34:3 (2024), 23–34
Citation in format AMSBIB
\Bibitem{GavZat24}
\by V.~E.~Gavrilov, A.~A.~Zatsarinny
\paper Specific features of ensuring the~functional safety of~automated systems using~artificial intelligence technology
\jour Sistemy i Sredstva Inform.
\yr 2024
\vol 34
\issue 3
\pages 23--34
\mathnet{http://mi.mathnet.ru/ssi943}
\crossref{https://doi.org/10.14357/08696527240303}
\edn{https://elibrary.ru/RPQAIE}
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