Humaima/AI-based-Network-Anomaly-Detection-System-using-Machine-Learning-techniques.
View on GitHub ↗Related repositories →This project implements an AI-based Network Anomaly Detection System using machine learning techniques to identify and predict potential security threats and anomalies in network traffic. The system is built using the UNSW-NB15 dataset, which includes various network traffic features such as protocols, services, packet sizes, and byte counts.
active 2024-09-13 → 2025-03-12 (UTC)
Activity over time
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Line chart, 182 days from 2024-09-13 to 2025-07-23. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Humaima | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.