Intrusion Deduction Simulation — Digital Twin Command Center

Explainable Digital Twin-enabled Edge-AI framework for lightweight IoT intrusion detection (CICIoT2023).

Live demo: https://intrusion-deduction-simulation.vercel.app
3D topology: https://intrusion-deduction-simulation.vercel.app/dt3d.html
GitHub: Nauman-Irshad/Intrusion-Deduction-Simulation-

What's included

Path	Description
index.html	Interactive DT dashboard (alerts, risk, charts, figures)
dt3d.html	3D Digital Twin topology (Three.js)
assets/devices/	Transparent IoT device product images
figures/	Simulation figures for the paper
tables/	CSV device status / alert / timeline tables
logs/	JSON twin states, explanations, canvas data
digital_twin_simulation.py	Offline simulation engine that regenerates outputs

Local run

cd Digital_Twin_Simulation
python -m http.server 8080

Then open:

• http://127.0.0.1:8080/
• http://127.0.0.1:8080/dt3d.html

Vercel

This folder is a static site. Deploy from the repo root (this directory):

vercel --prod

Or connect the GitHub repo in the Vercel dashboard — framework preset: Other, output: static.

Paper

Explainable Digital Twin-Enabled Edge-AI Framework for Lightweight IoT Intrusion Detection