DDoS Attack Autonomous Detection Model Based on Multi-Strategy Integrate Zebra Optimization Algorithm

Previous studies have shown that deep learning is very effective in detecting known attacks. However, when facing unknown attacks, models such as Deep Neural Networks (DNN) combined with Long Short-Term Memory (LSTM), Convolu... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-11-06
DOI
https://doi.org/10.32604/cmc.2024.058081
Citations
3
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.05

Funders

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article

DDoS Attack Autonomous Detection Model Based on Multi-Strategy Integrate Zebra Optimization Algorithm

Jiaye Liang, Aijing Zhang, Qingjie Zhang, Chunhui Li et al.
3 citations
Computers, materials & continua/Computers, materials & continua (Print)
Network Security and Intrusion Detection
1.05
article

DDoS Attack Autonomous Detection Model Based on Multi-Strategy Integrate Zebra Optimization Algorithm

Jiaye Liang, Aijing Zhang, Qingjie Zhang, Chunhui Li, Xiaoying Wang
article en
3 citations

Abstract

Previous studies have shown that deep learning is very effective in detecting known attacks. However, when facing unknown attacks, models such as Deep Neural Networks (DNN) combined with Long Short-Term Memory (LSTM), Convolu... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(1)
Strong, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 21%
Network Security and Intrusion Detection
1.05
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