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https://github.com/otuemre/viginids
VigiNIDS: A machine learning-based system for detecting malicious network traffic using the UNSW-NB15 dataset. It distinguishes between normal and attack activities, providing a data-driven approach to network security.
https://github.com/otuemre/viginids
classification cybersecurity intrusion-detection-system machine-learning network-intrusion-detection python scikit-learn unsw-nb15 xgboost
Last synced: about 10 hours ago
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VigiNIDS: A machine learning-based system for detecting malicious network traffic using the UNSW-NB15 dataset. It distinguishes between normal and attack activities, providing a data-driven approach to network security.
- Host: GitHub
- URL: https://github.com/otuemre/viginids
- Owner: otuemre
- Created: 2025-01-23T22:39:17.000Z (11 days ago)
- Default Branch: master
- Last Pushed: 2025-02-02T18:37:30.000Z (about 23 hours ago)
- Last Synced: 2025-02-02T19:32:08.117Z (about 22 hours ago)
- Topics: classification, cybersecurity, intrusion-detection-system, machine-learning, network-intrusion-detection, python, scikit-learn, unsw-nb15, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 5.62 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md