Anomalous Network Traffic Detection Method Based on an Elevated Harris Hawks Optimization Method and Gated Recurrent Unit Classifier

Anomalous Network Traffic Detection Method Based on an Elevated Harris Hawks Optimization Method and Gated Recurrent Unit Classifier

In recent years, network traffic contains a lot of feature information. If there are too many redundant features, the computational cost of the algorithm will be greatly increased. This paper proposes an anomalous network traffic detection method based on Elevated Harris Hawks optimization. This met...

Full description

Bibliographic Details
Main Authors: Yao Xiao, Chunying Kang, Hongchen Yu, Tao Fan, Haofang Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
Gated recurrent unit
Harris Hawks optimization
feature selection
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/19/7548

Similar Items

Similar Items