DataEncryption-in-ITS-using-AES-Algorithm-Publication

Data Encryption Using AES Algorithm: Cyber Security and Artificial Intelligence

Overview

This project explores integrating the Advanced Encryption Standard (AES) algorithm into cybersecurity solutions for IoT systems, such as autonomous vehicles (AVs) and cloud data storage. Combining AES encryption with AI techniques (Machine Learning) enhances data transmission security.

Table of Contents

• Features
• Technologies Used
• Key Components
• Performance Evaluation
• Business Applications
• Installation
• Usage
• Contributing
• License
• Contact

Features

• 512-bit AES encryption for secure data transmission
• Dual encryption for AV communication security
• AI/ML-based malware detection in cloud data
• Performance evaluation of encryption/decryption methods

Technologies Used

• Encryption: AES (512-bit)
• AI/ML: Artificial Neural Network (ANN), Particle Swarm Optimization (PSO)
• Languages: Python
• Cloud Services: Gcloud

Key Components

• AES Algorithm: Uses 512-bit AES encryption to enhance security.
• Cybersecurity in AVs: Protects AV sensor data with dual encryption.
• AI/ML in Cybersecurity: Custom ANN + PSO algorithm for malware detection in cloud storage.

Performance Evaluation

Analyzes encryption/decryption methods, showing AES combined with AI improves security against common attacks (MiM, DoS) and optimizes encryption/decryption times.

Business Applications

Useful for autonomous vehicle networks and cloud infrastructure, where secure data transmission is critical.

Installation

pip install -r requirements.txt
Usage

bash
Copy code
python main.py
Contributing

Fork this repository, make your changes, and submit a pull request. For issues, open a new ticket in the issues section.