TuringAnamolyDetection

Overview

A lightweight, secure IoT gateway leveraging the Turing Pi 2 cluster (1 Jetson Nano + 2 Raspberry Pi CM4 modules). This project integrates:

• A Rust-based firewall for traffic monitoring and filtering.
• An anomaly detection engine using TensorFlow Lite deployed on the Jetson Nano.
• Secure communication between components via MQTT with TLS.
• A real-time dashboard for monitoring traffic and alerts.

Features

• Rust-Based Firewall: Enforces dynamic traffic rules and monitors network activity.
• Anomaly Detection: Detects unauthorized access, port scans, and unusual traffic using a lightweight ML model.
• Secure Communication: Utilizes MQTT with TLS for secure inter-component messaging.
• Real-Time Dashboard: Provides live stats and anomaly alerts.

Architecture

Components

1. Traffic Router (Raspberry Pi CM4 - Node 1): Handles traffic routing and firewalling.
2. Logging Server (Raspberry Pi CM4 - Node 2): Aggregates and visualizes traffic data.
3. Anomaly Detection Node (Jetson Nano): Hosts and executes the TensorFlow Lite model.

Milestones

1. Set up the Turing Pi 2 hardware.
2. Implement the Rust-based firewall.
3. Deploy the TensorFlow Lite model.
4. Establish secure MQTT communication.
5. Build and deploy the monitoring dashboard.

Getting Started

Prerequisites

• Hardware: Turing Pi 2 with 1 Jetson Nano and 2 Raspberry Pi CM4 modules.
• Software: Rust, Python (with TensorFlow), MQTT broker (e.g., Mosquitto).

Quick Start

1. Clone the repository:

   git clone https://github.com/<your-username>/TuringAnomalyDetection.git
   cd TuringAnomalyDetection

2. Follow the Setup Guide to initialize the environment.

Contributing

Contributions are welcome! Please check the Contribution Guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.