PCCN: Parallel Cross Convolutional Neural Network for Abnormal Network Traffic Flows Detection in Multi-Class Imbalanced Network Traffic Flows

PCCN: Parallel Cross Convolutional Neural Network for Abnormal Network Traffic Flows Detection in Multi-Class Imbalanced Network Traffic Flows

Network attack behavior detection using deep learning is an important research topic in the field of network security. Currently, there are still many challenges in detecting multi-class imbalanced abnormal traffic data. This paper proposed a new intrusion detection network based on deep learning, n...

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Bibliographic Details
Main Authors: Yong Zhang, Xu Chen, Da Guo, Mei Song, Yinglei Teng, Xiaojuan Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Network intrusion detection
cross network
deep learning
feature fusion
Online Access:https://ieeexplore.ieee.org/document/8787567/

Internet

https://ieeexplore.ieee.org/document/8787567/

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