Classification Methods of Machine Learning to Detect DDoS Attacks
作者： Tamara Radivilova , Lyudmyla Kirichenko , Dmytro Ageiev , Vitalii Bulakh
DOI: 10.1109/IDAACS.2019.8924406
关键词:
摘要: In this paper the problem of intrusion detection by classification network traffic realizations was considered. The Machine Learning methods using fractal and recurrence features are applied to solve problem. simulated experimental data sets that contain attacks realization were used. numerical experiment detect intrusions example detecting typical DDoS conducted. It has been shown Random Forest method can effectively in traffic.
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