This project aims to detect Distributed Denial of Service (DDoS) attacks by analyzing HTTP packet patterns through clustering techniques. Using a combination of data preprocessing, K-means clustering, and anomaly detection, the application identifies potential DDoS attack patterns based on HTTP request and response characteristics.
active 2024-08-03 → 2024-08-03 (UTC)
Activity over time
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Line chart, 1 days from 2024-08-03 to 2024-08-03. Pushes: 0 total, peak 0 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: 0 total, peak 0 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
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