Using Artificial Neural Networks to Estimate the Probability of Information Security Threat Occurrences
This article defines the possibility of using artificial neural networks for evaluating the probability of information safety threat occurrences and the development of a computer program. The result of analyzing the threat occurrence probability has shown that artificial neural networks can be used...
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| Veröffentlicht in: | Automatic control and computer sciences 2021-12, Vol.55 (8), p.941-948 |
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| container_end_page | 948 |
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| container_issue | 8 |
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| container_title | Automatic control and computer sciences |
| container_volume | 55 |
| creator | Antonov, R. A. Karachanskaya, E. V. Khandozhko, G. V. |
| description | This article defines the possibility of using artificial neural networks for evaluating the probability of information safety threat occurrences and the development of a computer program. The result of analyzing the threat occurrence probability has shown that artificial neural networks can be used to evaluate the probability of information security threat occurrence. An application for evaluating the threat occurrence probability is developed. |
| doi_str_mv | 10.3103/S0146411621080046 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0146-4116 |
| ispartof | Automatic control and computer sciences, 2021-12, Vol.55 (8), p.941-948 |
| issn | 0146-4116 1558-108X |
| language | eng |
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| source | Springer Nature - Complete Springer Journals |
| subjects | Artificial neural networks Computer Science Control Structures and Microprogramming Neural networks Security Security management |
| title | Using Artificial Neural Networks to Estimate the Probability of Information Security Threat Occurrences |
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