Hyper-heuristic approaches for data stream-based intrusion detection in the Internet of Things
Detecting cyber-security attacks is still a challenging task. This is due to the evolving nature of the attacks. On the other hand, existing stream data learning models with limited labelling have many limitations. Most importantly, algorithms that suffer from a limited capability to adapt to the ev...
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| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2022
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| オンライン･アクセス: | http://ethesis.upm.edu.my/id/eprint/17905/1/FSKTM%202022%2023%20-%20T.pdf |
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