docs: Add comprehensive README.md

This commit adds a detailed README.md file that includes:
- Project overview and key features
- Installation and usage instructions
- Core components documentation
- Performance metrics from the research
- Contributing guidelines
- Links to the implementation plan (CLAUDE.md)

The README provides a clear entry point for developers and users to understand and use the AIDAS protocol implementation.

Author: shafiqahmeddev

README.md

@@ -0,0 +1,192 @@
+# AIDAS: AI-Enhanced Intrusion Detection and Authentication for Autonomous Vehicles
+
+[![Python Version](https://img.shields.io/badge/python-3.8%2B-blue.svg)](https://www.python.org/downloads/)
+[![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)
+[![Issues](https://img.shields.io/github/issues/shafiqahmeddev/AIDAS-Implementation.svg)](https://github.com/shafiqahmeddev/AIDAS-Implementation/issues)
+
+## 🚗 Overview
+
+AIDAS is a cutting-edge security protocol designed specifically for autonomous vehicle ecosystems. It implements a multi-layered security approach combining hardware-level security (PUF), advanced cryptography (Chaotic Maps), and AI-based intrusion detection (DQN) to ensure secure authentication and communication between autonomous vehicles, charging stations, operators, and service providers.
+
+## ✨ Key Features
+
+- **🔐 Physical Unclonable Functions (PUF)**: Hardware-based security for unique device identification
+- **🌀 Chaotic Map Cryptography**: Advanced key generation using logistic chaotic maps
+- **🤖 AI-Enhanced Security**: Deep Q-Network (DQN) based intrusion detection system
+- **🔄 Multi-Entity Authentication**: Secure protocol for Operators, AVs, Charging Stations, and ESP
+- **📊 Real-time Monitoring**: Performance metrics and security status visualization
+- **⚡ Low Latency**: Average authentication time of 6.4ms
+
+## 🛠️ Installation
+
+### Prerequisites
+- Python 3.8 or higher
+- pip package manager
+- Virtual environment (recommended)
+
+### Quick Start
+
+```bash
+# Clone the repository
+git clone https://github.com/shafiqahmeddev/AIDAS-Implementation.git
+cd AIDAS-Implementation
+
+# Create and activate virtual environment
+python -m venv venv
+source venv/bin/activate  # On Windows: venv\Scripts\activate
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Run the interactive demo
+python interactive_demo.py
+
+# Run the main protocol simulation
+python aidas_protocol.py
+```
+
+## 🚀 Usage
+
+### Interactive Demo
+The interactive demo provides a menu-driven interface to explore all AIDAS features:
+
+```bash
+python interactive_demo.py
+```
+
+Options include:
+1. Full demonstration of all features
+2. PUF simulation demo
+3. Chaotic cryptography demo
+4. AI intrusion detection demo
+5. Complete authentication demo
+6. Security analysis
+7. Performance metrics
+
+### Protocol Simulation
+Run a complete performance evaluation:
+
+```bash
+python aidas_protocol.py
+```
+
+This will:
+- Create multiple entities (operators, vehicles, charging stations)
+- Simulate authentication sessions
+- Generate performance reports
+- Display real-time monitoring dashboard
+
+## 📁 Project Structure
+
+```
+AIDAS-Implementation/
+├── aidas_protocol.py      # Core protocol implementation
+├── interactive_demo.py    # Interactive demonstration
+├── requirements.txt       # Python dependencies
+├── CLAUDE.md             # Comprehensive implementation plan
+├── README.md             # This file
+└── Research Article/     # Original research paper
+```
+
+## 🔧 Core Components
+
+### 1. PUF Simulator
+```python
+puf = PUFSimulator("device_id")
+challenge = b"random_challenge"
+response = puf.generate_response(challenge)
+```
+
+### 2. Chaotic Map
+```python
+chaotic_map = ChaoticMap(r=3.99, x0=0.1)
+key = chaotic_map.generate_key(32)  # 32-byte key
+```
+
+### 3. DQN Intrusion Detector
+```python
+detector = DQNIntrusionDetector()
+result = detector.detect_intrusion(network_features)
+```
+
+### 4. Entity Creation
+```python
+simulator = AIDASimulator()
+operator = simulator.create_operator("OP001", "password", bio_data)
+vehicle = simulator.create_vehicle("AV001")
+station = simulator.create_charging_station("CS001")
+```
+
+## 📈 Performance Metrics
+
+Based on the research implementation:
+- **Detection Accuracy**: 97.8%
+- **False Positive Rate**: 1.2%
+- **Authentication Latency**: 6.4ms (average)
+- **Communication Overhead**: 2176 bits
+- **Computational Overhead Reduction**: 31.25%
+
+## 🛣️ Roadmap
+
+- [x] Core protocol implementation
+- [x] Interactive demo
+- [ ] GUI interface (Issue #1)
+- [ ] Comprehensive test suite
+- [ ] REST API
+- [ ] Docker support
+- [ ] Production deployment
+
+See [CLAUDE.md](CLAUDE.md) for detailed implementation plan.
+
+## 🤝 Contributing
+
+We welcome contributions! Please follow these steps:
+
+1. Fork the repository
+2. Create a feature branch (`git checkout -b feature/AmazingFeature`)
+3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
+4. Push to the branch (`git push origin feature/AmazingFeature`)
+5. Open a Pull Request
+
+Please read [CLAUDE.md](CLAUDE.md) for detailed development guidelines.
+
+## 🐛 Issues
+
+Found a bug or have a feature request? Please check [existing issues](https://github.com/shafiqahmeddev/AIDAS-Implementation/issues) or create a new one.
+
+Current open issues:
+- [#1 GUI is absent](https://github.com/shafiqahmeddev/AIDAS-Implementation/issues/1)
+
+## 📚 Documentation
+
+- [Implementation Plan](CLAUDE.md) - Comprehensive development guide
+- [Research Paper](Research%20Article/AIDAS__AI_Enhanced_Intrusion_Detection_and_Authentication_for_Autonomous_Vehicles.pdf) - Original research
+
+## 🔒 Security
+
+This implementation includes multiple security layers:
+- Hardware-level security (PUF)
+- Cryptographic protection (AES-256, ECC-256)
+- AI-based threat detection
+- Protection against various attacks (MITM, DDoS, Replay, etc.)
+
+## 📄 License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+## 👥 Authors
+
+- **Shafiq Ahmed** - *Initial implementation* - [shafiqahmeddev](https://github.com/shafiqahmeddev)
+
+## 🙏 Acknowledgments
+
+- Based on the research paper "AIDAS: AI-Enhanced Intrusion Detection and Authentication for Autonomous Vehicles"
+- Thanks to all contributors and researchers in the field of autonomous vehicle security
+
+## 📞 Contact
+
+For questions or support, please open an issue or contact the maintainers.
+
+---
+
+**Note**: This is a research implementation. For production use, additional security auditing and testing is recommended.