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Information × Registration Number 0221U103870, 0120U100639 , R & D reports Title Development of algorithms for computer-based intrusion detection popup.stage_title Head Yatskiv Vasyl Vasyliovych, Доктор технічних наук Registration Date 26-02-2021 Organization Ternopil National Economic University popup.description2 The object of research is the process of detecting intrusions into computer systems based on machine learning. The purpose of the work is to increase the reliability of intrusion detection systems based on machine learning. Research methods - data management methods, anomaly detection algorithms, forecasting methods (uncontrolled machine learning), density-based methods, statistics of intrusion into the network. The generalized scientific result of the work is that on the basis of the developed algorithms for detecting intrusions into computer systems using machine learning methods, the reliability of the intrusion detection system has been increased. The scientific novelty of the study is to develop and improve intrusion detection algorithms based on controlled and uncontrolled machine learning, which has increased the efficiency of increasing the reliability of intrusion detection systems. The developed machine learning algorithms will be used in the implementation of intrusion detection systems. Product Description popup.authors Ivasiev Stepan V. Kasyanchuk Mykhajlo M Kulyna Serhii V. Pihovskyy Yurii R. Tsavolyk Taras G Iakymenko Ihor Z. Yatskiv Vasil V Yatskiv Nataliya G. popup.nrat_date 2021-02-26 Close