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Постійне посилання на розділhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/35393
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Документ Assessment of the state of the computer system based on the hurst exponent(Technical University of Sofia, 2017) Semenov, Sergei; Gavrylenko, Svitlana; Chelak, ViktorThe method of identifying abnormal behavior of computer systems based on the Hurst exponent is examined in this report. Results of the research suggest the possibility of using the Hurst exponent for identifying the anomalous behavior of computer systems in the overall system to detect malicious software.Документ Intrusion detection in computer systems(Technical University of Sofia, 2016) Gavrylenko, Svitlana; Chelak, Viktor; Hornostal, AlekseyThe work proposes to use the mathematical formalism of statistical analysis based on the BDS-test, Shewhart control cards and CUSUM to develop patterns of identification of the computer system in a state of computer viruses attacks.Документ Investigation of intrusion in computer systems based on the Hurst exponent(NTU "KhPI", 2017) Gavrylenko, Svitlana; Chelak, Viktor; Bilogorskiy, NickThe subjectof the research in this article is the analysis of intrusion detection methods in computer systems.The purpose of the article is to develop effective methods and technologies for countering computer viruses. Tasks: research of modern means of antivirus protection of computer systems; a study of the Hurst index for assessing the state of the computer system; development of a software model for assessing the state of a computer system based on the Hurst index, analysis of the experimental data. The methods usedare: self-similarity assessment of the process based on the Hurst index. The following results are obtained. A method for identified abnormal behavior of a computer system based on the Hurst index is proposed. It is based on the analysis of CPU and RAM. The results of the research showed that theinfluence of a number of viruses on the computer system leads to the aspiration of the Hurstindex to an average value of 0.5, which indicates the randomness of the process. Conclusions. Experimental studies confirm the possibility of using the Hurst index as an integral part of the intrusion detection system in computer systems.