A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks

A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks

More and more network traffic data have brought great challenge to traditional intrusion detection system. The detection performance is tightly related to selected features and classifiers, but traditional feature selection algorithms and classification algorithms can't perform well in massive...

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Bibliographic Details
Main Authors: Kehe Wu, Zuge Chen, Wei Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Network intrusion detection
convolutional neural networks
image data format conversion
cost function weight
imbalanced dataset
Online Access:https://ieeexplore.ieee.org/document/8456507/

Internet

https://ieeexplore.ieee.org/document/8456507/

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