https://github.com/devrizz/qsvm_cyberx
This is our quantum SVM project where we are simulating the ML models to harness the Hilbert Space features and qubits transformations where we will show the comparison btw classical SVM and quantum SVM and with addition on that we are also adding QKD protocol to make the connection secure.
https://github.com/devrizz/qsvm_cyberx
Last synced: 8 months ago
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This is our quantum SVM project where we are simulating the ML models to harness the Hilbert Space features and qubits transformations where we will show the comparison btw classical SVM and quantum SVM and with addition on that we are also adding QKD protocol to make the connection secure.
- Host: GitHub
- URL: https://github.com/devrizz/qsvm_cyberx
- Owner: DevRizz
- Created: 2025-08-13T17:38:09.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-08-28T16:53:48.000Z (10 months ago)
- Last Synced: 2025-08-28T23:35:36.363Z (10 months ago)
- Language: Python
- Size: 94.7 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Quantum Kernel Online Anomaly Detection with QKD-secured Pipeline
A full-stack system for real-time network anomaly detection that blends:
- Live packet capture (or PCAP upload)
- Feature extraction and scaling
- Quantum kernel classifier (PennyLane) with Nyström approximation
- Online learning: streaming baseline (River) and on-demand quantum SVM retraining
- QKD (BB84) simulation to derive session keys
- AES-GCM encryption of messages/logs using QKD-derived keys
- Streamlit UI for control, visualization, and human-in-the-loop feedback
- SQLite logging of events and anomalies
This repository is self-contained with all code and commands.
Important notes:
- Live sniffing may require administrator privileges (root) or special capabilities.
- QKD here is a protocol simulation (BB84) for software demonstration. Real QKD requires quantum channels and specialized hardware. We use the simulated key to secure your local pipeline (AES-GCM).
## Folder Structure
```
.
├── README.md
├── Dockerfile
├── .env.example
├── requirements.txt
├── streamlit_app
│ ├── app.py
│ └── pages
│ ├── 01_Live_Capture.py
│ └── 02_PCAP_Upload.py
├── quantum_anomaly
│ ├── __init__.py
│ ├── utils
│ │ └── logging_setup.py
│ ├── storage
│ │ └── db.py
│ ├── security
│ │ ├── qkd.py
│ │ └── secure_channel.py
│ ├── capture
│ │ ├── live_sniffer.py
│ │ └── pcap_loader.py
│ ├── features
│ │ └── engine.py
│ ├── quantum
│ │ └── kernel.py
│ ├── online
│ │ └── buffer.py
│ ├── models
│ │ ├── online.py
│ │ └── quantum_svm.py
│ └── orchestrator.py
└── scripts
├── dev.sh
└── dev.ps1
```
## Quick Start
We recommend Python 3.11+.
### 1) macOS / Linux (bash or zsh)
```bash
# Clone your repository (skip if already inside)
# git clone https://github.com/DevRizz/QSVM_CyberX && cd QSVM_CyberX
# Create venv
python3 -m venv .venv
source .venv/bin/activate
# Upgrade pip
pip install --upgrade pip
# Install system deps if you want live capture (scapy uses libpcap):
# macOS (brew): brew install libpcap
# Ubuntu/Debian: sudo apt-get update && sudo apt-get install -y libpcap-dev tshark
# (For pyshark, tshark is recommended.)
# Install Python deps
pip install -r requirements.txt
# Copy and edit env (optional)
cp .env.example .env
# Initialize DB
python -c "from quantum_anomaly.storage.db import init_db; init_db()"
# Run Streamlit
streamlit run streamlit_app/app.py
```
Live capture permissions:
- Linux: run with sudo OR grant capabilities:
sudo setcap cap_net_raw,cap_net_admin=eip $(which python3)
- macOS: run as sudo (Terminal prompt will ask for admin password).
- Windows: run PowerShell as Administrator.
### 2) Windows (PowerShell)
```powershell
# Create venv
py -3 -m venv .venv
. .\.venv\Scripts\Activate.ps1
# Upgrade pip
python -m pip install --upgrade pip
# Install Wireshark/TShark if using pyshark:
# Download from https://www.wireshark.org/#download and make sure tshark is in PATH
# Install Python deps
pip install -r requirements.txt
# Copy and edit env (optional)
Copy-Item .env.example .env
# Initialize DB
python -c "from quantum_anomaly.storage.db import init_db; init_db()"
# Run Streamlit (Run PowerShell as Administrator for live sniff)
streamlit run streamlit_app/app.py
```