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| 005 | 20231030040710.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\11046 | ||
| 035 | _aRU\TPU\network\10227 | ||
| 090 | _a645941 | ||
| 100 | _a20160205a2016 k y0engy50 ba | ||
| 101 | 0 |
_aeng _deng |
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| 102 | _aRU | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aConstruction of hybrid intelligent system of express-diagnostics of information security attackers based on the synergy of several sciences and scientific directions _fA. E. Yankovskaya, A. A. Shelupanov, V. G. Mironova |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 320 | _a[References: p. 530-531 (23 tit.)] | ||
| 330 | _aThis 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 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 |
_tPattern Recognition and Image Analysis _oScientific Journal _d1990- |
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| 463 |
_tVol. 26, iss. 3 _v[P. 524–532] _d2016 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aинтеллектуальные системы | |
| 610 | 1 | _aэкспресс-диагностика | |
| 610 | 1 | _aинформационная безопасность | |
| 610 | 1 | _aсинергия | |
| 610 | 1 | _aдиагностика | |
| 610 | 1 | _aтесты | |
| 610 | 1 | _aпрограммное обеспечение | |
| 700 | 1 |
_aYankovskaya _bA. E. _cspecialist in the field of electrical engineering _cProfessor of Tomsk Polytechnic University, doctor of technical Sciences _f1939- _gAnna Efimovna _2stltpush _3(RuTPU)RU\TPU\pers\36250 |
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| 701 | 1 |
_aShelupanov _bA. A. |
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| 701 | 1 |
_aMironova _bV. G. |
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| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bЭнергетический институт (ЭНИН) _bКафедра электропривода и электрооборудования (ЭПЭО) _h178 _2stltpush _3(RuTPU)RU\TPU\col\18674 |
| 801 | 2 |
_aRU _b63413507 _c20170116 _gRCR |
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| 856 | 4 | _uhttp://dx.doi.org/10.1134/S1054661816030238 | |
| 942 | _cCF | ||