|
Avtomatika i Telemekhanika, 2008, Issue 9, Pages 170–182
(Mi at728)
|
|
|
|
This article is cited in 1 scientific paper (total in 1 paper)
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
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.
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
Linking options:
https://www.mathnet.ru/eng/at728 https://www.mathnet.ru/eng/at/y2008/i9/p170
|
Statistics & downloads: |
Abstract page: | 209 | Full-text PDF : | 88 | References: | 35 | First page: | 1 |
|