ton-iot

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Bhupendra-jangir / Security-Audit-of-IoT-Device-Networks-reproduced-results

Reproduction of Shaikhanova et al. (MDPI Sensors, 2025) — ML-based IoT intrusion detection using TON_IoT dataset with RF, LightGBM, XGBoost & Logistic Regression.

machine-learning random-forest cybersecurity xgboost intrusion-detection lightgbm iot-security network-security ton-iot

Updated May 9, 2026
Jupyter Notebook

HarshTanwar1 / iot-intrusion-detection

Star

Real-time IoT cyber-attack detection using a custom WebSocket streaming pipeline and an incrementally-trained ML ensemble on the TON_IoT datasets

python machine-learning big-data tensorflow websockets scikit-learn jupyter-notebook cybersecurity lstm intrusion-detection ensemble-learning iot-security online-learning real-time-analytics data-streaming anomaly-detection ton-iot

Updated Jun 29, 2026
Jupyter Notebook

Minator-web / netguard-ids

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Explainable hybrid IDS with leakage-aware cross-dataset evaluation on UNSW-NB15, CIC-IDS2017, and ToN-IoT.

python machine-learning cybersecurity intrusion-detection network-security unsw-nb15 domain-shift ton-iot cic-ids2017

Updated Sep 10, 2026
Python

cyberforge-sec / hybrid-cf-xgboost-ids

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Hybrid Certainty Factor-XGBoost approach for cyberattack detection on TON_IoT dataset

machine-learning cybersecurity xgboost intrusion-detection network-security anomaly-detection certainty-factor ton-iot

Updated Jul 7, 2026
Python

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