An Improved Network Intrusion Detection Method Based On CNN-LSTM-SA
As cyber threats grow in complexity and frequency, the importance of Network Intrusion Detection Systems in modern cybersecurity defense becomes increasingly critical. Traditional machine learning algorithms, such as Decision Trees, Naive Bayes, Random Forest, Random Trees, Multi-Layer Perceptron, a...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 英語 |
| 出版事項: |
Universiti Malaysia Sarawak
2025
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| 主題: | |
| オンライン･アクセス: | http://ir.unimas.my/id/eprint/47765/ |
| Abstract | Abstract here |