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Machine Learning Based - Intrusion Detection System
Project README
Random Forest - IDS
This is an Intrution Detection System with Machine Learning Based (Random Forest). This IDS used to detect DDoS Attack in Software-Defined Network with utilizing sFlow-RT (sFlow protocol). The analyze of Machine Learning Model can be found here: https://github.com/nadhirfr/cic-ids-2018
Feature:
- Django Framework
- API (WebSocket and HTTP)
- Realtime Attack Alert
- Read Traffic from sFlow-RT
- Full async process (Django-Channels)
Dashboard 
Log 
HTTP API Documentation:
| URL : | http://ip_address/api/?sec=latestLog&limit=limitShow |
|---|---|
| Method : | GET |
| Example : | http://127.0.0.1/api/?sec=10&limit=5 |
| Get 5 data in last 10 seconds |
GET status of service : http://ip_address/api/status/
WS Access URL : ws://ip_address/ws/api/
Open Source Agenda is not affiliated with "Rf Ids" Project. README Source: nadhirfr/rf-ids
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