A Research of GcForest Methods for Network Abnormal Behavior Detection
Xuening Wang, Xiaoyong Li · 2020 International Conference on Computer Engineering and Application (ICCEA) · 2020
In the age of Internet, information security has received more and more attention, and network abnormal behavior detection technology has emerged as the times require. Aiming at the lack of accuracy and flexibility of traditional abnormal behavior detection technology in detecting multi-class malicious behaviors, this paper proposes a network abnormal behavior detection technology based on gcForest. The compareson through experiments proves that the technology has obvious advantages in the field of network abnormal behavior detection.