Method for determination of cyber threats based on machine learning for real-time information system
Автор: Volodymyr Tolubko, Viktor Vyshnivskyi, Vadym Mukhin, Halyna Haidur, Nadiia Dovzhenko, Oleh Ilin, Volodymyr Vasylenko
Журнал: International Journal of Intelligent Systems and Applications @ijisa
Статья в выпуске: 8 vol.10, 2018 года.
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This work is about the definition of cyber threats in the information system. The cyber threats lead to significant loss of network resources and cause the system disability as a whole. Detecting countermeasures in certain threats can reduce the impact on the system by changing the topology of the network in advance. Consequently, the interruption of a cyberattack forces the intruders to seek for alternative ways to damage the system. The most important task in the information system work is the state of network equipment monitoring. Also it’s the support of the network infrastructure in working order. The purpose of the work is to develop a method for detecting cyber threats for the information system. The system can independently detect cyber threats and develop countermeasures against them. The main feature of the counteractions is to protect network nodes from compromising. To ensure the functional stability, the most important issues are providing safety metrics. This technique allows to increase the functional stability of the system, which works in real time.
Method, cybersecurity, threat, countermeasure, graph, algorithm
Короткий адрес: https://sciup.org/15016513
IDR: 15016513 | DOI: 10.5815/ijisa.2018.08.02
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