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Aliz-f / edge-web-attack-detection-federated

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Federated Learning with 1D-CNN for Web Attack Detection on Edge-IIoTset using the Flower Framework. This project explores both IID and Non-IID data partitions to evaluate federated performance in decentralized IoT environments.

iot machine-learning deep-neural-networks deep-learning machine-learning-algorithms distributed-computing deep-learning-algorithms iiot cnn-model intrusion-detection-system edge-computing federated-learning fedavg fedavgm fedopt flower-framework edge-iiotset flower-federated-learning dew-computing
  • Updated Dec 5, 2025
  • Python

Aliz-f / edge-web-attack-detection-centralized

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Machine Learning and Deep Learning Models for Web Attack Detection on the Edge-IIoTset Dataset. This repository explores and compares various classification architectures—including LightGBM, 1D-CNN, MobileNet-1D, etc.—optimized for deployment in edge computing environments.

iot machine-learning deep-neural-networks deep-learning machine-learning-algorithms machinelearning iiot cnn-model intrusion-detection-system edge-computing cnn-classification edge-iiotset dew-computing
  • Updated Dec 5, 2025
  • Jupyter Notebook

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