B1rH0ut/sdn-ml-ddos-mitigation

Real-time DDoS detection and mitigation using SDN (Ryu/OpenFlow) and Machine Learning (Random Forest). Mininet spine-leaf topology with automated flow-based attack classification and blocking.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

MIT

Category

ddos-attack-detection

Last pushed

Mar 17, 2026

Commits (30d)

0

GitHub
DDoS Attack Detection · 31 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/B1rH0ut/sdn-ml-ddos-mitigation"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Compare

sdn-ml-ddos-mitigation and project

Higher-rated alternatives

santhisenan/DeepDefense

DDoS attack detection using BLSTM based RNN

45

GAR-Project/project

DDoS attacks detection by using SVM on SDN networks.

38

MeherRushi/FlowSentryX

FlowSentryX is an open-source XDP-based fast packet processing DOS and DDOS Mitigation Framework...

35

mvoassis/CIC-DDoS2019-DeepLearning

:shield: A GRU deep learning system against attacks in Software Defined Networks (SDN).

32

ReubenJoe/DDoS-Detection

Detailed Comparative analysis of DDoS detection using Machine Learning Models

32

Explore ML Frameworks

All categories Trending ML Framework directory Insights