anasm3/FL-IDPS: FL-IDPS v1.0.0 - Initial Release

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Autor principal: anasm3
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Publicado: Zenodo 2026
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author anasm3
author_facet anasm3
contents <h2>FL-IDPS v1.0.0 - Initial Release</h2> <p>Federated Deep Learning Framework for Privacy-Preserving Intrusion Detection and Prevention in IoT Networks.</p> <h3>Features</h3> <ul> <li>FedDLMIDPSM model with 5 hidden layers</li> <li>Differential Privacy (configurable ε)</li> <li>90% gradient compression via Top-K sparsification</li> <li>Intrusion Prevention System (IPS)</li> <li>CICIoT2023 dataset support</li> </ul> <h3>Files</h3> <ul> <li><a>fl_idps.py</a> - Main implementation</li> <li><a>data_loader.py</a> - Dataset loader</li> <li><a>examples/demo.ipynb</a> - Tutorial notebook</li> </ul>
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publishDate 2026
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spellingShingle anasm3/FL-IDPS: FL-IDPS v1.0.0 - Initial Release
anasm3
<h2>FL-IDPS v1.0.0 - Initial Release</h2> <p>Federated Deep Learning Framework for Privacy-Preserving Intrusion Detection and Prevention in IoT Networks.</p> <h3>Features</h3> <ul> <li>FedDLMIDPSM model with 5 hidden layers</li> <li>Differential Privacy (configurable ε)</li> <li>90% gradient compression via Top-K sparsification</li> <li>Intrusion Prevention System (IPS)</li> <li>CICIoT2023 dataset support</li> </ul> <h3>Files</h3> <ul> <li><a>fl_idps.py</a> - Main implementation</li> <li><a>data_loader.py</a> - Dataset loader</li> <li><a>examples/demo.ipynb</a> - Tutorial notebook</li> </ul>
title anasm3/FL-IDPS: FL-IDPS v1.0.0 - Initial Release
url https://doi.org/10.5281/zenodo.18290120