DDOS-Detection-Simulator
# DDoS Detection Simulator
**Traffic simulation and real-time DDoS alert generation for security operations training**
[](https://python.org)
[](LICENSE)
[](SECURITY.md)
[](https://github.com/Raphasha27/kirov-dynamics)
**Built by [Koketso Raphasha](https://github.com/Raphasha27) — Practical AI for Africa**
Overview
Educational DDoS detection simulation platform for SOC analysts and security students. Generates realistic network traffic patterns, simulates volumetric and application-layer attacks, and provides a detection dashboard with real-time alerting.
Features
- Traffic Simulation — Realistic normal and attack traffic patterns
- Attack Types — Volumetric, SYN flood, HTTP flood, DNS amplification
- Detection Engine — ML-based anomaly detection algorithms
- Real-time Dashboard — Traffic visualization and alert console
- Alert Generation — Severity-based alerting with MITRE ATT&CK mapping
- Historical Analysis — PCAP export and post-event investigation
Architecture
graph LR
USER[User] --> API[FastAPI]
API --> PROC[Processor]
PROC --> DB[(Database)]
API --> AUTH[Auth Layer]
PROC --> AI[AI/ML Engine]
Microservices-based architecture with API Gateway, authentication layer, PostgreSQL persistence, and event-driven communication.
Quick Start
git clone https://github.com/Raphasha27/DDOS-Detection-Simulator.git
cd DDOS-Detection-Simulator
pip install -r requirements.txt
python simulate.py
⚠️ Educational Use Only
This tool is designed for SOC training and educational purposes. It simulates DDoS traffic in isolated environments only.
Ecosystem
| Project | Description |
|---|---|
| Network-Port-Scanner | Multi-threaded network scanning and banner grabbing |
| Insider-Threat-Detector | Behavioral analytics for insider threat detection |
| Phishing-Awareness-Game | Educational security awareness training |
Product Ladder
GitHub (this repo)
↓
Portfolio → https://raphasha27.github.io/raphasha-dev-portfolio
↓
Contact → https://github.com/Raphasha27
License
MIT — see LICENSE
Contributors
This project is developed and maintained together with the team:
- Raphasha27 — Project lead & maintainer
- DkMash — Teammate