An Intrusion Detection Model Based on Feature Reduction and Convolutional Neural Networks

An Intrusion Detection Model Based on Feature Reduction and Convolutional Neural Networks

With the popularity and development of network technology and the Internet, intrusion detection systems (IDSs), which can identify attacks, have been developed. Traditional intrusion detection algorithms typically employ mining association rules to identify intrusion behaviors. However, they fail to...

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Bibliographic Details
Main Authors: Yihan Xiao, Cheng Xing, Taining Zhang, Zhongkai Zhao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Communication technology
convolutional neural network
data dimensionality reduction
intrusion detection
Online Access:https://ieeexplore.ieee.org/document/8666014/

Internet

https://ieeexplore.ieee.org/document/8666014/

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