Construction of hybrid intelligent system of express-diagnostics of information security attackers based on the synergy of several sciences and scientific directions; Pattern Recognition and Image Analysis; Vol. 26, iss. 3
| Parent link: | Pattern Recognition and Image Analysis: Scientific Journal.— , 1990- Vol. 26, iss. 3.— 2016.— [P. 524–532] |
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| Tác giả của công ty: | |
| Tác giả khác: | , |
| Tóm tắt: | Title screen This paper is devoted to construction of a hybrid intelligent system of express-diagnostics of possible information security attackers (HIS DIVNAR) based on a synergy of several sciences and scientific directions: test pattern recognition; discrete mathematics; threshold and fuzzy logic; artificial intelligence; finite state machines (FSM) theory; reliability; theory of separating systems; theory of probability and mathematical statistics; and cognitive means. The proposed approach and basis of the mathematical apparatus are fragmentarily given for constructing HIS DIVNAR; that consists of four components: the first component, called IS DIOS, is designed for the express-diagnostics of organizational stress of the subject; the second (IS DIAPROD) is for the express-diagnostics and prevention of depression; the third (DIDEV) is for the expressdiagnostics and prevention of deviant behavior; and the fourth, intelligent system of express-diagnostics of information security attackers (IS DINARLOG2) is for making and justification of decisions with the use of cognitive means based on earlier revealed different regularities, including fault-tolerant irredundant unconditional diagnostic tests, fault-tolerant mixed diagnostic tests, regularities, and decision rules, which are built by using the applied IS DINARLOG1 constructed on the basis of intelligent instrumental software IMSLOG. Further development of this approach is proposed. Режим доступа: по договору с организацией-держателем ресурса |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
2016
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://dx.doi.org/10.1134/S1054661816030238 |
| Định dạng: | Điện tử Chương của sách |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=645941 |
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| 200 | 1 | |a Construction of hybrid intelligent system of express-diagnostics of information security attackers based on the synergy of several sciences and scientific directions |f A. E. Yankovskaya, A. A. Shelupanov, V. G. Mironova | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 530-531 (23 tit.)] | ||
| 330 | |a This paper is devoted to construction of a hybrid intelligent system of express-diagnostics of possible information security attackers (HIS DIVNAR) based on a synergy of several sciences and scientific directions: test pattern recognition; discrete mathematics; threshold and fuzzy logic; artificial intelligence; finite state machines (FSM) theory; reliability; theory of separating systems; theory of probability and mathematical statistics; and cognitive means. The proposed approach and basis of the mathematical apparatus are fragmentarily given for constructing HIS DIVNAR; that consists of four components: the first component, called IS DIOS, is designed for the express-diagnostics of organizational stress of the subject; the second (IS DIAPROD) is for the express-diagnostics and prevention of depression; the third (DIDEV) is for the expressdiagnostics and prevention of deviant behavior; and the fourth, intelligent system of express-diagnostics of information security attackers (IS DINARLOG2) is for making and justification of decisions with the use of cognitive means based on earlier revealed different regularities, including fault-tolerant irredundant unconditional diagnostic tests, fault-tolerant mixed diagnostic tests, regularities, and decision rules, which are built by using the applied IS DINARLOG1 constructed on the basis of intelligent instrumental software IMSLOG. Further development of this approach is proposed. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Pattern Recognition and Image Analysis |o Scientific Journal |d 1990- | ||
| 463 | |t Vol. 26, iss. 3 |v [P. 524–532] |d 2016 | ||
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| 610 | 1 | |a интеллектуальные системы | |
| 610 | 1 | |a экспресс-диагностика | |
| 610 | 1 | |a информационная безопасность | |
| 610 | 1 | |a синергия | |
| 610 | 1 | |a диагностика | |
| 610 | 1 | |a тесты | |
| 610 | 1 | |a программное обеспечение | |
| 700 | 1 | |a Yankovskaya |b A. E. |c specialist in the field of electrical engineering |c Professor of Tomsk Polytechnic University, doctor of technical Sciences |f 1939- |g Anna Efimovna |3 (RuTPU)RU\TPU\pers\36250 | |
| 701 | 1 | |a Shelupanov |b A. A. | |
| 701 | 1 | |a Mironova |b V. G. | |
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