METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE
The subject of the research is methods of identifying the state of the Computer System. The object of research is the process of identifying the state of a computer system for information protection. The aim of the research is to develop the method for identifying the state of a computer system for...
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| Format: | Article |
| Language: | English |
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National Technical University "Kharkiv Polytechnic Institute"
2022-04-01
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| Series: | Сучасні інформаційні системи |
| Subjects: | |
| Online Access: | http://ais.khpi.edu.ua/article/view/254192/251476 |
| _version_ | 1818027896387665920 |
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| author | Victor Chelak Svitlana Gavrylenko |
| author_facet | Victor Chelak Svitlana Gavrylenko |
| author_sort | Victor Chelak |
| collection | DOAJ |
| description | The subject of the research is methods of identifying the state of the Computer System. The object of research is the process of identifying the state of a computer system for information protection. The aim of the research is to develop the method for identifying the state of a computer system for information protection. This article is devoted to the development of method (boosting ensemble) to increase the accuracy of detecting anomalies in computer systems. Methods used: artificial intelligence methods, machine learning, decision tree methods, ensemble methods. The results were obtained: a method of computer system identification based on boosting ensemble with special preprocessing procedure is developed. The effectiveness of using machine learning technology to identify the state of a computer system has been studied. Experimental researches have confirmed the effectiveness of the proposed method, which makes it possible to recommend it for practical use in order to improve the accuracy of identifying the state of the computer system. Conclusions. According to the results of the research, ensemble classifier of computer system state identification based on boosting was proposed. It was found that the use of the proposed classifier makes it possible to reduce the variance to 10%. In addition, due to the optimization of the initial data, the efficiency of identifying the state of the computer was increased. Prospects for further research may be to develop an ensemble of fuzzy decision trees based on the proposed method, optimizing their software implementation |
| first_indexed | 2024-12-10T04:55:11Z |
| format | Article |
| id | doaj.art-af0e22bddc84420aad3f8f2e48b50829 |
| institution | Directory Open Access Journal |
| issn | 2522-9052 |
| language | English |
| last_indexed | 2024-12-10T04:55:11Z |
| publishDate | 2022-04-01 |
| publisher | National Technical University "Kharkiv Polytechnic Institute" |
| record_format | Article |
| series | Сучасні інформаційні системи |
| spelling | doaj.art-af0e22bddc84420aad3f8f2e48b508292022-12-22T02:01:32ZengNational Technical University "Kharkiv Polytechnic Institute"Сучасні інформаційні системи2522-90522022-04-0161121810.20998/2522-9052.2022.1.02METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDUREVictor Chelak0https://orcid.org/0000-0001-8810-3394Svitlana Gavrylenko1https://orcid.org/0000-0002-6919-0055National Technical University "Kharkiv Polytechnic Institute", Kharkiv, UkraineNational Technical University "Kharkiv Polytechnic Institute", Kharkiv, UkraineThe subject of the research is methods of identifying the state of the Computer System. The object of research is the process of identifying the state of a computer system for information protection. The aim of the research is to develop the method for identifying the state of a computer system for information protection. This article is devoted to the development of method (boosting ensemble) to increase the accuracy of detecting anomalies in computer systems. Methods used: artificial intelligence methods, machine learning, decision tree methods, ensemble methods. The results were obtained: a method of computer system identification based on boosting ensemble with special preprocessing procedure is developed. The effectiveness of using machine learning technology to identify the state of a computer system has been studied. Experimental researches have confirmed the effectiveness of the proposed method, which makes it possible to recommend it for practical use in order to improve the accuracy of identifying the state of the computer system. Conclusions. According to the results of the research, ensemble classifier of computer system state identification based on boosting was proposed. It was found that the use of the proposed classifier makes it possible to reduce the variance to 10%. In addition, due to the optimization of the initial data, the efficiency of identifying the state of the computer was increased. Prospects for further research may be to develop an ensemble of fuzzy decision trees based on the proposed method, optimizing their software implementationhttp://ais.khpi.edu.ua/article/view/254192/251476computer system state identificationdata processingdecision tree boosting ensembles |
| spellingShingle | Victor Chelak Svitlana Gavrylenko METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE Сучасні інформаційні системи computer system state identification data processing decision tree boosting ensembles |
| title | METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE |
| title_full | METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE |
| title_fullStr | METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE |
| title_full_unstemmed | METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE |
| title_short | METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE |
| title_sort | method of computer system state identification based on boosting ensemble with special preprocessing procedure |
| topic | computer system state identification data processing decision tree boosting ensembles |
| url | http://ais.khpi.edu.ua/article/view/254192/251476 |
| work_keys_str_mv | AT victorchelak methodofcomputersystemstateidentificationbasedonboostingensemblewithspecialpreprocessingprocedure AT svitlanagavrylenko methodofcomputersystemstateidentificationbasedonboostingensemblewithspecialpreprocessingprocedure |