A Many Objective-Based Feature Selection Model for Anomaly Detection in Cloud Environment

A Many Objective-Based Feature Selection Model for Anomaly Detection in Cloud Environment

With the development of cloud computing technology (CCT), the processing of network traffic data becomes particularly important. However, the existing intrusion detection systems (IDS) are not efficient enough in analyzing network traffic data for anomaly detection. Therefore, this paper proposes a...

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Bibliographic Details
Main Authors: Zhixia Zhang, Jie Wen, Jiangjiang Zhang, Xingjuan Cai, Liping Xie
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cloud computing
intrusion detection system
feature selection
many-objective optimization
network anomaly detection
Online Access:https://ieeexplore.ieee.org/document/9039600/

Internet

https://ieeexplore.ieee.org/document/9039600/

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