Devising a procedure for defining the general criteria of abnormal behavior of a computer system based on the improved criterion of uniformity of input data samples

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Název: Devising a procedure for defining the general criteria of abnormal behavior of a computer system based on the improved criterion of uniformity of input data samples
Autoři: Semenov, S., Mozhaiev, O. O., orcid:0000-0002-1412-2696, Kuchuk, N., Mozhaiev, M., Tiulieniev, S., Gnusov, Y. V., orcid:0000-0002-9017-9635, Yevstrat, D., Chyrva, Y., Kuchuk, H.
Zdroj: Eastern-European Journal of Enterprise Technologies. 6:40-49
Informace o vydavateli: Private Company Technology Center, 2022.
Rok vydání: 2022
Témata: 0301 basic medicine, Наукові публікації. Scientific publications. Научные публикации, комп'ютерна система, computer system, однорідна вибірка, мережева активність, Техніка. Технічні науки. Machinery. Engineering. Техника. Технические науки, компьютерная система, критерій аномалії, network activity, Україна. Ukraine. Украина, 01 natural sciences, сетевая активность, anomaly criterion, 03 medical and health sciences, homogeneous sample, векторная статистика, однородный образец, vector statistics, векторна статистика, 0101 mathematics, критерий аномалии
Popis: The object of this study was the process of detecting anomalies in computer systems. The task to timely detect anomalies in computer systems was solved, based on a mathematical model underlying which is the criteria for uniformity of samples of input data. The necessity and possibility to devise a universal and at the same time scientifically based approach to tracking the states of the system were determined. Therefore, the purpose of this work was to develop a methodology for determining the general criterion of anomaly in the behavior of a computer system depending on the input data. This will increase the reliability of identifying the anomaly in the behavior of the system, which, in turn, should increase its safety. To solve the problem, a mathematical model for detecting anomalies in the behavior of a computer system has been built. The mathematical model differs from the well-known ones in the possibility of isolating a series of observations, the results of which show the anomaly in the behavior of the computer system. This made it possible to ensure the necessary level of reliability of the results of monitoring and research. In the process of modeling, the criteria for uniformity of samples of input data have been investigated and improved. The expediency of using the improved criterion of uniformity of samples of input data in the case of a significantly unequal distribution of values from the sensors of computer systems has been proved. An algorithm for the functioning of the software test tool has been developed. The results of the study showed that the confidence probability that the value of the statistical values of the shift in a certain criterion does not deviate from the mathematical expectation by more than 0.05 is approximately equal to 0.94. The scope of the obtained results is systems for detecting anomalies of computer systems. A necessary condition for the use of the proposed results is the presence of a series of observations of the state of the computer system
Druh dokumentu: Article
Popis souboru: application/pdf
ISSN: 1729-4061
1729-3774
DOI: 10.15587/1729-4061.2022.269128
Rights: CC BY
Přístupové číslo: edsair.doi.dedup.....db1b044f23c4145b17d8b51b6549d730
Databáze: OpenAIRE
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  Data: Devising a procedure for defining the general criteria of abnormal behavior of a computer system based on the improved criterion of uniformity of input data samples
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  Data: <searchLink fieldCode="AR" term="%22Semenov%2C+S%2E%22">Semenov, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Mozhaiev%2C+O%2E+O%2E%22">Mozhaiev, O. O.</searchLink><br /><searchLink fieldCode="AR" term="%22orcid%3A0000-0002-1412-2696%22">orcid:0000-0002-1412-2696</searchLink><br /><searchLink fieldCode="AR" term="%22Kuchuk%2C+N%2E%22">Kuchuk, N.</searchLink><br /><searchLink fieldCode="AR" term="%22Mozhaiev%2C+M%2E%22">Mozhaiev, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Tiulieniev%2C+S%2E%22">Tiulieniev, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Gnusov%2C+Y%2E+V%2E%22">Gnusov, Y. V.</searchLink><br /><searchLink fieldCode="AR" term="%22orcid%3A0000-0002-9017-9635%22">orcid:0000-0002-9017-9635</searchLink><br /><searchLink fieldCode="AR" term="%22Yevstrat%2C+D%2E%22">Yevstrat, D.</searchLink><br /><searchLink fieldCode="AR" term="%22Chyrva%2C+Y%2E%22">Chyrva, Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Kuchuk%2C+H%2E%22">Kuchuk, H.</searchLink>
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  Data: <i>Eastern-European Journal of Enterprise Technologies</i>. 6:40-49
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  Data: Private Company Technology Center, 2022.
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  Data: <searchLink fieldCode="DE" term="%220301+basic+medicine%22">0301 basic medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Наукові+публікації%2E+Scientific+publications%2E+Научные+публикации%22">Наукові публікації. Scientific publications. Научные публикации</searchLink><br /><searchLink fieldCode="DE" term="%22комп'ютерна+система%22">комп'ютерна система</searchLink><br /><searchLink fieldCode="DE" term="%22computer+system%22">computer system</searchLink><br /><searchLink fieldCode="DE" term="%22однорідна+вибірка%22">однорідна вибірка</searchLink><br /><searchLink fieldCode="DE" term="%22мережева+активність%22">мережева активність</searchLink><br /><searchLink fieldCode="DE" term="%22Техніка%2E+Технічні+науки%2E+Machinery%2E+Engineering%2E+Техника%2E+Технические+науки%22">Техніка. Технічні науки. Machinery. Engineering. Техника. Технические науки</searchLink><br /><searchLink fieldCode="DE" term="%22компьютерная+система%22">компьютерная система</searchLink><br /><searchLink fieldCode="DE" term="%22критерій+аномалії%22">критерій аномалії</searchLink><br /><searchLink fieldCode="DE" term="%22network+activity%22">network activity</searchLink><br /><searchLink fieldCode="DE" term="%22Україна%2E+Ukraine%2E+Украина%22">Україна. Ukraine. Украина</searchLink><br /><searchLink fieldCode="DE" term="%2201+natural+sciences%22">01 natural sciences</searchLink><br /><searchLink fieldCode="DE" term="%22сетевая+активность%22">сетевая активность</searchLink><br /><searchLink fieldCode="DE" term="%22anomaly+criterion%22">anomaly criterion</searchLink><br /><searchLink fieldCode="DE" term="%2203+medical+and+health+sciences%22">03 medical and health sciences</searchLink><br /><searchLink fieldCode="DE" term="%22homogeneous+sample%22">homogeneous sample</searchLink><br /><searchLink fieldCode="DE" term="%22векторная+статистика%22">векторная статистика</searchLink><br /><searchLink fieldCode="DE" term="%22однородный+образец%22">однородный образец</searchLink><br /><searchLink fieldCode="DE" term="%22vector+statistics%22">vector statistics</searchLink><br /><searchLink fieldCode="DE" term="%22векторна+статистика%22">векторна статистика</searchLink><br /><searchLink fieldCode="DE" term="%220101+mathematics%22">0101 mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22критерий+аномалии%22">критерий аномалии</searchLink>
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  Data: The object of this study was the process of detecting anomalies in computer systems. The task to timely detect anomalies in computer systems was solved, based on a mathematical model underlying which is the criteria for uniformity of samples of input data. The necessity and possibility to devise a universal and at the same time scientifically based approach to tracking the states of the system were determined. Therefore, the purpose of this work was to develop a methodology for determining the general criterion of anomaly in the behavior of a computer system depending on the input data. This will increase the reliability of identifying the anomaly in the behavior of the system, which, in turn, should increase its safety. To solve the problem, a mathematical model for detecting anomalies in the behavior of a computer system has been built. The mathematical model differs from the well-known ones in the possibility of isolating a series of observations, the results of which show the anomaly in the behavior of the computer system. This made it possible to ensure the necessary level of reliability of the results of monitoring and research. In the process of modeling, the criteria for uniformity of samples of input data have been investigated and improved. The expediency of using the improved criterion of uniformity of samples of input data in the case of a significantly unequal distribution of values from the sensors of computer systems has been proved. An algorithm for the functioning of the software test tool has been developed. The results of the study showed that the confidence probability that the value of the statistical values of the shift in a certain criterion does not deviate from the mathematical expectation by more than 0.05 is approximately equal to 0.94. The scope of the obtained results is systems for detecting anomalies of computer systems. A necessary condition for the use of the proposed results is the presence of a series of observations of the state of the computer system
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