Construction of hybrid intelligent system of express-diagnostics of information security attackers based on the synergy of several sciences and scientific directions

• Published in: Pattern recognition and image analysis Vol. 26; no. 3; pp. 524 - 532
• Main Authors: Yankovskaya, A. E., Shelupanov, A. A., Mironova, V. G.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.07.2016; Springer Nature B.V
• Subjects: Algorithms; Artificial intelligence; Combinatorics; Computer information security; Computer Science; Confidentiality; Decision making; Decisions; Deviance; Diagnostic software; Diagnostic tests; Diagnostics; Fault tolerance; Hybrid systems; Image Processing and Computer Vision; Information; Information systems; Intelligent systems; Mathematical analysis; Pattern Recognition; Regularity; Security; Security management; Security systems; Society; Software; Software and Hardware for Pattern Recognition and Image Analysis; Studies; test pattern recognition; synergy; fault-tolerant mixed diagnostic tests; hybrid intelligent system; fault-tolerant irredundant unconditional diagnostic tests; cognitive means; regularities; intelligent instrumental software IMSLOG; express-diagnostics of information security attackers
• ISSN: 1054-6618; 1555-6212
• DOI: 10.1134/S1054661816030238

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.