yliang725/Anomaly-Detection-IoT23
A research project of anomaly detection on dataset IoT-23
This project provides an anomaly detection system for IoT security, specifically designed to identify malicious network traffic in IoT devices. It processes raw IoT network traffic data, such as the IoT-23 dataset, and outputs classifications of benign or anomalous behavior. Network security analysts and cybersecurity researchers working with IoT infrastructure would find this useful for enhancing threat detection.
108 stars.
Use this if you are a cybersecurity researcher or network analyst needing to detect unusual and potentially malicious activity in IoT network traffic data.
Not ideal if you need a production-ready, real-time intrusion detection system for a live IoT environment without further development.
Stars
108
Forks
42
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Feb 22, 2026
Commits (30d)
0
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