SAGAR AdaptiveAuth Framework

🚀 Overview

SAGAR AdaptiveAuth is a cutting-edge authentication framework that implements risk-based adaptive authentication. The system dynamically adjusts security requirements based on contextual signals, behavioral biometrics, and real-time risk assessment to protect against modern threats while maintaining optimal user experience.

Key Features:

• Risk-Based Authentication - 5-level security system (0-4) adjusting dynamically
• Multi-Factor Authentication - Support for 2FA, email, and SMS verification
• Behavioral Biometrics - Typing patterns and mouse movement analysis
• Real-Time Session Monitoring - Continuous verification during active sessions
• Framework Usage Tracking - Monitor who integrates your framework
• Anomaly Detection - Automated suspicious activity identification
• Admin Dashboard - Comprehensive monitoring and management tools
• Analytics & Reporting - Charts, PDF, and CSV export capabilities
• Enterprise Ready - Production-optimized with security-first design

🏗️ Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Frontend      │    │  AdaptiveAuth   │    │    Backend      │
│   Interface     │◄──►│   Framework     │◄──►│   Services      │
│ (HTML/JS)       │    │                 │    │ (Your App)      │
└─────────────────┘    └─────────────────┘    └─────────────────┘
                              │
                       ┌─────────────────┐
                       │  Risk Engine    │
                       │  (Real-time)    │
                       └─────────────────┘
                              │
                       ┌─────────────────┐
                       │  Analytics &    │
                       │  Monitoring     │
                       └─────────────────┘

📋 Security Levels

Level	Name	Description	Requirements
0	TRUSTED	Known device/IP/browser	Minimal authentication
1	BASIC	Standard login	Password only
2	VERIFIED	Unknown IP	Password + Email verification
3	SECURE	Unknown device	Password + 2FA
4	BLOCKED	Suspicious activity	Account locked

🛠️ Tech Stack

• Backend: Python 3.8+, FastAPI
• Database: SQLAlchemy with SQLite/PostgreSQL support
• Authentication: JWT with refresh tokens
• 2FA: TOTP with QR codes
• Frontend: HTML5, JavaScript, Chart.js
• API: RESTful endpoints with OpenAPI documentation
• Security: Rate limiting, input validation, OWASP compliance

🚀 Quick Start

Prerequisites

• Python 3.8 or higher
• pip package manager

Installation

1. Clone the repository

git clone https://github.com/yourusername/adaptiveauth.git
cd adaptiveauth

2. Create virtual environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies

pip install --upgrade pip
pip install -r requirements.txt

4. Configure environment

cp .env.example .env
# Edit .env file with your configuration

5. Start the server

python main.py

6. Access the application

• API: http://localhost:8080
• Documentation: http://localhost:8080/docs
• Admin Interface: http://localhost:8080/static/index.html

🔐 Admin Access

Default admin credentials:

• Email: admin@adaptiveauth.com
• Password: Admin@123

⚠️ SECURITY NOTICE: Change these credentials immediately after first login!

📊 Admin Dashboard Features

1. User Management

• View all users
• Activate/deactivate accounts
• Manage user roles

2. System Statistics

• User counts and activity
• Session monitoring
• Security metrics

3. Risk Events

• Monitor authentication attempts
• View security alerts
• Track risk patterns

4. Framework Usage Analytics

• Track who uses your framework
• Identify integration patterns
• Monitor usage trends

5. Anomaly Detection

• Identify suspicious activity
• Automatic threat detection
• Pattern recognition

6. Data Export

• Export users to CSV
• Export sessions to CSV
• Export risk events to CSV
• Export framework usage to CSV

7. Analytics & Charts

• User statistics visualization
• Risk distribution charts
• PDF report generation
• CSV report generation

🎯 API Endpoints

Authentication

• POST /api/v1/auth/login - User login
• POST /api/v1/auth/register - User registration
• POST /api/v1/auth/adaptive-login - Adaptive login with risk assessment
• POST /api/v1/auth/refresh - Token refresh
• POST /api/v1/auth/logout - User logout

2FA Management

• POST /api/v1/auth/setup-2fa - Setup two-factor authentication
• POST /api/v1/auth/verify-2fa - Verify TOTP code
• POST /api/v1/auth/disable-2fa - Disable 2FA

User Management

• GET /api/v1/user/profile - Get user profile
• PUT /api/v1/user/profile - Update user profile
• PUT /api/v1/user/change-password - Change password
• GET /api/v1/user/sessions - Get active sessions

Admin Endpoints

• GET /api/v1/admin/users - List users
• GET /api/v1/admin/statistics - System statistics
• GET /api/v1/admin/risk-events - Risk events
• GET /api/v1/admin/anomalies - Anomaly patterns
• GET /api/v1/admin/framework-statistics - Framework usage statistics

📈 Risk Assessment Factors

The framework evaluates multiple risk factors:

• Device Recognition (30%) - Known devices vs new devices
• Location Analysis (25%) - Geographic location patterns
• Time Patterns (15%) - Login time consistency
• Velocity Checks (15%) - Frequency of attempts
• Behavioral Biometrics (15%) - Typing patterns, mouse movements

🧪 Testing

Run the test suite:

python -m pytest test_framework.py

🚢 Deployment

Docker Deployment

# Build and run with Docker
docker-compose up --build

# Or build standalone image
docker build -t adaptiveauth .
docker run -p 8080:8080 adaptiveauth

Production Deployment

# Use the deployment script
./scripts/deploy.sh  # Linux/macOS
# or
scripts\deploy.bat   # Windows

🔒 Security Best Practices

• Always use HTTPS in production
• Rotate JWT secrets regularly
• Monitor authentication logs
• Implement rate limiting
• Use strong passwords
• Enable 2FA for admin accounts
• Regular security audits
• Keep dependencies updated
• Validate all inputs
• Sanitize all outputs

🤝 Contributing

We welcome contributions! Please read our CONTRIBUTING.md for guidelines.

Development Setup

# Fork the repository
git clone https://github.com/yourusername/adaptiveauth.git
cd adaptiveauth

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Install development dependencies
pip install -r requirements-dev.txt

# Run tests
python -m pytest

📄 License

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

🆘 Support

• Documentation: Built-in at /docs
• Issues: Report bugs on GitHub
• Discussions: Join our community forum
• Contact: [your-email@example.com]

📈 Changelog

v1.0.0 - Initial Release

• Risk-based adaptive authentication (0-4 levels)
• Multi-factor authentication (2FA, email, SMS)
• Behavioral biometrics (typing patterns, mouse tracking)
• Admin dashboard with analytics
• Framework usage tracking
• Anomaly detection
• PDF/CSV reporting capabilities
• Real-time session monitoring

🙏 Acknowledgments

• FastAPI team for the excellent framework
• SQLAlchemy for robust ORM capabilities
• Chart.js for beautiful visualizations
• Open-source community for inspiration

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