Classification of network traffic using machine learning methods.

Autor:	Nazarenko, Evgenii, Varkentin, Vitalii, Shchitova, Anastasia
Předmět:	COMPUTER network traffic MACHINE learning DENIAL of service attacks TRAFFIC monitoring CLASSIFICATION
Zdroj:	AIP Conference Proceedings; 2023, Vol. 2624 Issue 1, p1-7, 7p
Abstrakt:	Studies by scientists several years ago showed that the ineffectiveness of detecting and mitigating the damage of DDoS attacks is directly related to persistent configuration errors and wasted time, as well as a lack of tools that monitor the dynamics of the network without constant human intervention. This has led to use of stand-alone solutions that can operate based on traffic behavior and characteristics. In this sense, decision making using machine learning-based methods was highly flexible in the classification process, which improved the detection of malicious traffic. The article discusses a number of machine learning methods, provides algorithm settings and provides quality metrics for a number of experiments. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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