Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems
<p>Existing techniques for incremental learning are computationally expensive and produce duplicate features leading to higher false positive and true negative rates. We propose a novel privacy-preserving intrusion detection pipeline for distributed incremental learning. Our pre-processing tec...
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| Main Author: | Aliya Tabassum (16896486) (author) |
|---|---|
| Other Authors: | Aiman Erbad (14150589) (author), Amr Mohamed (3508121) (author), Mohsen Guizani (12580291) (author) |
| Published: |
2021
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| Subjects: | |
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