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<p>The article reviews existing theoretical developments in the field of assessing the security level of information systems (ISs) based on various approaches, including the use of neural networks and artificial intelligence. This enabled the authors of the article to develop their own mathematical and structural models of the process of assessing the level of information security of ISs and the method of their formalization based on a systems approach, a Hamming neural network, and elements of artificial intelligence. A set of evaluation parameters of the level of security of modern ISs was substantiated, and a digital technology was developed for identifying vulnerabilities in IS security from various fields of application using a Hamming neural network and artificial intelligence. The experimental verification pool for the developed model comprises the information systems of 10 companies.</p>

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Information System Vulnerability Assessment Using Hamming Neural Network

  • 期刊论文

  • 发表日期：

    2025年11月28日

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  • A. O. Azarova,
  • Iu. V. Krak,
  • O. G. Murashchenko,
  • L. O. Nikiforova,
  • O. V. Ruzakova

摘要

The article reviews existing theoretical developments in the field of assessing the security level of information systems (ISs) based on various approaches, including the use of neural networks and artificial intelligence. This enabled the authors of the article to develop their own mathematical and structural models of the process of assessing the level of information security of ISs and the method of their formalization based on a systems approach, a Hamming neural network, and elements of artificial intelligence. A set of evaluation parameters of the level of security of modern ISs was substantiated, and a digital technology was developed for identifying vulnerabilities in IS security from various fields of application using a Hamming neural network and artificial intelligence. The experimental verification pool for the developed model comprises the information systems of 10 companies.