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Dhinacodes/DDOS-Detection-using-ML

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This project uses K-means clustering to detect and visualize potential DDoS attacks from website log datasets by analyzing network traffic patterns. The model evaluates clustering effectiveness using silhouette scores, providing insights into abnormal traffic behavior.

active 2024-08-052024-10-28 (UTC)

Complete coverage27,156 / 27,158 hourly files (100%) · 2 absent upstream2023-08-152026-09-19 (UTC)
Events
10
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 85 days from 2024-08-05 to 2024-10-28. 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: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Dhinacodes3300

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 — 0 stars here means stars gained during the window, not the repo's star count.