Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data-Reference-Cited by-同舟云学术

Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data

Published:2024-02 Issue: Volume:128 Page:107568
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Xue Liang^ORCID,Zhu Tianqing^ORCID

Funder

Natural Science Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

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