An Intrusion Detection for Internet of Medical Things Based on Deep Learning Techniques
The Internet of Medical Things (IoMT) has enhanced healthcare, but it is also vulnerable to cyber-attack. Reliable Intrusion Detection Systems (IDSs) are essential for data integrity and patient safety. The goal of this study is to design and evaluate deep learning IDSs in the form of DNNs and a hy...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
University of Baghdad
2026-01-01
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| シリーズ: | Ibn Al-Haitham Journal for Pure and Applied Sciences |
| 主題: | |
| オンライン･アクセス: | https://jih.uobaghdad.edu.iq/index.php/j/article/view/4222 |
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