Halyna Haidur

Work place: State University of Telecommunications, Kiev, 03110, Ukraine

E-mail: gaydurg@gmail.com

Website:

Research Interests: Computer systems and computational processes, Computational Learning Theory, Computer Networks, Information Security, Information Retrieval

Biography

Halyna Haidur received her M.E. degree in telecommunication systems and networks in State University of Information and Communication Technologies, Ukraine in 2001, and Ph.D. in telecommunication systems and networks in 2013 from State University of Telecommunications, Kyiv, Ukraine. In 2015 she became Associate Professor of Information Technologies. Has over 40 publications in professional editions of Ukraine. Her list of research interests includes computer networks, intelligent systems, machine learning, information security.

Author Articles
Method for Determination of Cyber Threats Based on Machine Learning for Real-Time Information System

By Volodymyr Tolubko Viktor Vyshnivskyi Vadym Mukhin Halyna Haidur Nadiia Dovzhenko Oleh Ilin Volodymyr Vasylenko

DOI: https://doi.org/10.5815/ijisa.2018.08.02, Pub. Date: 8 Aug. 2018

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.

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