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Information × Registration Number 0219U100974, 0118U006133 , R & D reports Title System of detection of attacks in local wireless networks of enterprises and their associations on the basis of technologies of intellectual data analysis popup.stage_title Head Dzhulii Volodymyr M., Registration Date 12-04-2019 Organization Khmelnytskyi National University popup.description2 The object of research is the system of detection of attacks through the wireless local area network of the organization. The purpose of the study is to increase the effectiveness of detecting attacks through the wireless local area network of the organization by developing models and algorithms for solving this problem on the basis of intelligent data analysis technologies. Research methods. In the process of research, methods of theory of graphs, neural networks, the method of reference vectors, the method of k-nearest neighbors, decision trees are used. Methods for functional, informational and simulation modeling were used to evaluate the effectiveness of the proposed solutions. The proposed method of detecting attacks in the wireless network based on the classifying model using the methods of data mining, which, unlike existing methods, can increase the accuracy of detection of attacks and reduce the number of false positives. According to the results of tests carried out in the loading network, a technique is also developed for identifying vulnerable script and module attacks in content management systems and further optimization. The architecture of the intelligent detection system for wireless attacks operates on the basis of developed algorithms for detecting attacks and their integration into an ensemble, the application of which allows more precise and complete detection and blocking of attacks on the wireless component of the information system. The software of the research prototype of the intelligent system of detecting wireless attacks has been developed. The effectiveness of the developed prototype is confirmed by the simulation simulation of attacks on the segment of the local wireless network of the organization using real network traffic. The prototype provides an increase of 15 ÷ 18% accuracy of detection of attacks on the wireless component of the information system   Product Description popup.authors Dzhulii Volodymyr M. Krasilnikov Sergey R. Ognevoy Aleksandr V. popup.nrat_date 2020-04-02 Close