Anomaly Detection in Wireless Networks

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ML model for network anomaly detection

Network Traffic — Anomaly Detection

3 anomalies detected
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About

A TensorFlow neural network for detecting anomalies in wireless network traffic — specifically network intrusion patterns. Trained on publicly available network datasets. Built as a research-grade implementation for academic work in network security.

Highlights

  • TensorFlow classification model
  • Trained on public network intrusion datasets
  • Precision and recall documented in the repo