Synthesis of an Expert System for Assessing the Security of Computer Networks Based on a Fuzzy Neural Network
Svitlana Kuznichenko1, Sergey Shvorov2, Yurii Husak3, Igor Tolok4, Ihor Muliar5

1Svitlana Kuznichenko*, Department of Information Technologies Odessa State Environmental University Odessa, Ukraine.
2Sergey Shvorov, Department of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv, Ukraine.
3Yurii Husak, Research Center, Institute of the Armed Forces of Ukraine of Kyiv, Kyiv, Ukraine.
4Igor. Tolok, Military Institute of Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.
5Muliar Ihor, Department of Cybersecurity of Computer Systems and Networks of Khmelnytsky National University Khmelnitsky, Ukraine.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 29, 2020. | Manuscript published on May 10, 2020. | PP: 935-939 | Volume-9 Issue-7, May 2020. | Retrieval Number: F3422049620/2020©BEIESP | DOI: 10.35940/ijitee.F3422.059720
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Abstract: The aim of the article is to substantiate the principles of synthesis of an expert system for assessing the security of computer networks based on a fuzzy neural network, and this is an urgent scientific and technical task. Requirements for the operative security assessment of computer networks for data protection are analyzed. It was shown that data security should be provided by the network administrator or persons who need to use special decision support systems in assessing the security of computer networks. To solve this problem, factors that characterize the security of electronic systems, including computer systems, have been identified; the use of fuzzy neural networks is proposed as a mathematical apparatus for constructing an expert system; a technique for the synthesis of a fuzzy neural network for assessing the security of computer networks has been developed; an appropriate fuzzy neural network has been created and tested for adequacy; the prospects of the proposed methodology for creating an expert system for assessing the security of computer systems have been established. The scientific and practical significance of developing such a system lies in the fact that a fuzzy neural network is configured on a specific object in order to quickly determine one of the seven levels of security of computer networks that are used in the United States Department of Defense. .
Keywords: Fuzzy neural networks, expert systems, information security, data sample
Scope of the Article: Fuzzy Logics