ISSN 1991-2927
 

ACP № 1 (59) 2020

Author: "Denis Aleksandrovich Korochentsev"

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Denis Aleksandrovich Korochentsev, Candidate of Sciences in Engineering; graduated from the Rostov Military Institute of Missile Troops; Acting Head of the Department of the Cybersecurity of Information Systems of Don State Technical University; an author of publications, certificates of computer program registration in the field of development of artificial intelligence systems, information security, cryptographic protection of information. e-mail: mytelefon@mail.ruD.A. Korochentsev

Anna Sergeevna Pavlenko, Second-Year Master’s Student at the Department of Cybersecurity of Information Systems of Don State Technical University; an author of publications, certificates of computer program registration in the field of development of artificial intelligence systems, information security, neural networks, fuzzy logic. e-mail: anutka-pavlenko@yandex.ruA.S. Pavlenko

Development of a neuro-fuzzy model of information security by identifying unmasking features of the object of protection59_5.pdf

The article deals with an information security model developed by authors that is based on adaptive neuro-fuzzy system providing timely detection of unmasking features of the object of protection. A number of unmasking features of the object of study with fuzzy values are used as input variables of the considered model. The model combines the function of modeling fuzzy inference with the ability to train an artificial neural network. A set of fuzzy inference rules is generated directly from experimental data. The output result of the system is the value of the integral index in the interval [0,1] that describes the information content of the characteristic structure of the object under study with recommendations for reducing its information content. Evaluation of the correctness of the model was carried out by comparing experimental and obtained (forecast) results.

Unmasking feature, information security, fuzzy logic, neural network, model, information security.

2020_ 1

Sections: Information systems

Subjects: Information systems.

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