Federated Learning Based Secure Key Generation

Overview

• Federated Learning based decentralized secure key generation for IoT networks.
• The project aims to develop a privacy-preserving and decentralized key generation mechanism for IoT (Internet of Things) networks using Federated Learning (FL).
• Traditional key generation schemes rely on centralized servers, which pose security and privacy risks.
• This project explores how FL can enable multiple IoT devices to collaboratively train a machine learning model for key generation without sharing raw data, thereby ensuring data confidentiality, resilience against attacks, and scalability.
• Currently the project is being developed under a simulated IoT network environment, and no physical IoT devices are being used.

Setup & Installation

1. Clone the official repository:

   git clone https://github.com/vasu03/FL-Based-Secure-Key-Generation.git
   cd FL-Based-Secure-Key-Generation/
   

2. Install the required dependencies as per your operating system:

   • Windows OS

     pip install -r requirements.txt
     

   • Linux or MacOS

     python3 -m venv venv
     source venv/bin/activate
     pip install -r requirements.txt
     deactivate
     

[NOTE]: You must have latest version of pip installed on your system

Testing & Execution

• Windows OS

  python3 main.py
  

• Linux or MacOS

  source venv/bin/activate
  python3 main.py
  deactivate
  

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License & Disclaimer

Notice:
This project is developed solely for educational and academic research purposes.
It is not intended or recommended for real-world, commercial, or production use.
The author(s) do not endorse or take responsibility for any misuse or unethical application of this code.
Use responsibly and in compliance with all applicable laws.

This project is licensed under the Apache License 2.0.
You are free to use, modify, and distribute this software under the terms of that license.