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Avtomatika i Telemekhanika, 2008, Issue 9, Pages 170–182 (Mi at728)  
This article is cited in 2 scientific papers (total in 2 papers)

Simulation of Behavior and Intelligence

Modeling of neural-network security tools for computer-aided systems: A formal model of adaptation and operation. I

G. F. Nesteruka, L. G. Nesterukb, Ph. G. Nesterukc

a Specialized Center of Program Systems "Spektr", St. Petersburg, Russia
b St. Petersburg State University of Economics and Finance
c St. Petersburg State University of Information Technologies, Mechanics and Optics
Full-text PDF (247 kB) Citations (2)
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Abstract: Basing on the biosystem analogy and model of adaptive security that uses intellectual mechanisms of neural networks and fuzzy logic, tools for security of information of computer-aided systems are organized in the form of hierarchy of security levels: immune (for operative reaction to the variation of threats) and receptor (for accumulated know-how in the form of information fields of neural networks). Tools for describing processes in information fields of neural networks by batch neural-network programs, i.e., a formal model of adaptation and operation of neural-network security tools.
Presented by the member of Editorial Board: V. V. Kul'ba

Received: 29.09.2006
English version:
Automation and Remote Control, 2008, Volume 69, Issue 9, Pages 1603–1614
DOI: https://doi.org/10.1134/S0005117908090130
Bibliographic databases:
Document Type: Article
PACS: 07.05.Mh, 07.05.Tp, 87.17.Aa, 87.18.Sn
Language: Russian
Citation: G. F. Nesteruk, L. G. Nesteruk, Ph. G. Nesteruk, “Modeling of neural-network security tools for computer-aided systems: A formal model of adaptation and operation. I”, Avtomat. i Telemekh., 2008, no. 9, 170–182; Autom. Remote Control, 69:9 (2008), 1603–1614
Citation in format AMSBIB
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    Citing articles in Google Scholar: Russian citations, English citations
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