Search academic texts

Information × Registration Number 0212U008045, 0110U000786 , R & D reports Title The Methods and Means for intrusion detection on computer systems. popup.stage_title Head Sachenko Anatoly Oleksiyovych, Registration Date 21-09-2012 Organization Ternopol National Economic University popup.description2 Object of research - intrusion detection on computer systems based on artificial intelligence techniques. Purpose - Development of methods and means of detecting intrusions on computer systems. Methods of research - the results are given in the statement of research based on a complex application of methods of systems analysis, mathematical statistics, pattern recognition theory, the theory of artificial neural networks neyroobchyslen, artificial immune systems, fuzzy sets, fuzzy logic, multicriteria optimization methods, including genetic algorithms, methods of information theory and coding. Basic scientific results: developed methods and algorithms and detect attacks on computer systems based on artificial neural networks tashtuchnyh immune systems; the methods and means for determining the stability of a computer system to the time of analysis using fuzzy logic; developed methods and tools for computer-aided design of signaling system using fuzzy evolutionary methods; the methods of coding and data transmission in wireless sensor networks based on modular arithmetic. Based on research developed methodology and software that is used in the learning process Ternopil National Economic University for teaching "test, reliability, control and diagnosis of computer systems", "The theory of neural networks" "Computer networks" " Methods and systems for pattern recognition ", "Evolutionary algorithms", "Information protection in computer systems ". Results of research have been tested at international and national conferences. As a result of a research thesis defended. Product Description popup.authors Биковий П.Є. Дубчак Л.О. Комар М.П. Су Дзюнь popup.nrat_date 2020-04-02 Close