Three-Branch Random Forest Intrusion Detection Model

Three-Branch Random Forest Intrusion Detection Model

Network intrusion detection has the problems of large amounts of data, numerous attributes, and different levels of importance for each attribute in detection. However, in random forests, the detection results have large deviations due to the random selection of attributes. Therefore, aiming at the...

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Bibliographic Details
Main Authors: Chunying Zhang, Wenjie Wang, Lu Liu, Jing Ren, Liya Wang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
intrusion detection
attribute importance
decision boundary entropy
three-way decision
random forest
Online Access:https://www.mdpi.com/2227-7390/10/23/4460

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