Targeted Attacks Detection and Security Intruders Identification in the Cyber Space
Avkurova Z. Gnatyuk S. Abduraimova B. Makulov K.
Aug 2024Modern Education and Computer Science Press
International Journal of Computer Network and Information Security
2024#16Issue 4144 - 153 pp.
The number of new cybersecurity threats and opportunities is increasing over time, as well as the amount of information that is generated, processed, stored and transmitted using ICTs. Particularly sensitive are the objects of critical infrastructure of the state, which include the mining industry, transport, telecommunications, the banking system, etc. From these positions, the development of systems for detecting attacks and identifying intruders (including the critical infrastructure of the state) is an important and relevant scientific task, which determined the tasks of this article. The paper identifies the main factors influencing the choice of the most effective method for calculating the importance coefficients to increase the objectivity and simplicity of expert assessment of security events in cyberspace. Also, a methodology for conducting an experimental study was developed, in which the goals and objectives of the experiment, input and output parameters, the hypothesis and research criteria, the sufficiency of experimental objects and the sequence of necessary actions were determined. The conducted experimental study confirmed the adequacy of the models proposed in the work, as well as the ability of the method and system created on their basis to detect targeted attacks and identify intruders in cyberspace at an early stage, which is not included in the functionality of modern intrusion detection and prevention systems.
APT , Cybersecurity , Detection , Fuzzy Logic , Information Infrastructure , Modelling , Targeted Attacks
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Department of AI Technology, NAO Karaganda Industrial University, Republic Str 30, Temirtau, 101400, Kazakhstan
Faculty of Computer Science and Technology, National Aviation University, Kyiv, Ukraine
Department of Computer Science, L. N. Gumilyov, Eurasian National University, Nur-Sultan, Kazakhstan
Department of Computer Science, Yessenov Univeristy, Aktau, Kazakhstan
Department of AI Technology
Faculty of Computer Science and Technology
Department of Computer Science
Department of Computer Science
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