Layer3
Overview
Layer3 is a cutting-edge authentication solution designed for environments where security is paramount. It blends robust technological measures with an intuitive user interface, creating an authentication mechanism that is both secure and user-friendly. This system aims to redefine access security by introducing a three-tiered authentication model.
Vision
Layer3's philosophy is to make security seamless yet impenetrable. Traditional passwords and Two-Factor Authentication (2FA) mechanisms are increasingly vulnerable to phishing, brute force attacks, and social engineering. Layer3 introduces Three-Factor Authentication (3FA), a pioneering approach leveraging visual patterns and dynamic challenges to thwart attackers.
Technologies
Key Features
Triple-Layered Security
Combines three distinct layers of verification: Something You Know (traditional username-password combinations), Something You Have (visual authentication using patterns or images), and Something You See (dynamic and shuffling visual PINs).
Dynamic Resistance to Attacks
Patterns are randomized with each session, ensuring resistance to brute-force attacks and shoulder surfing.
User-Centric Design
Allows users to personalize visual patterns and image-based security settings. Streamlines the login experience while maintaining high security.
Scalable and Adaptable
Can be integrated with existing authentication mechanisms for hybrid security. Ideal for applications requiring strong authentication such as banking, healthcare, and corporate systems.
Technical Overview
Architecture
- Built on Python/Django, ensuring scalability and robustness.
- Uses Firebase for real-time database management and user data storage.
- Integrates Twilio for secure notifications and alerts.
Front-End Interface
- Intuitive web interface powered by HTML, CSS, and JavaScript.
- Designed for ease of use with accessibility considerations.
Backend Workflow
- User Input Validation: Validates traditional credentials.
- Visual Authentication Challenge: User completes a pattern-based or image-recognition step.
- Final Verification: Dynamic factors like one-time PINs (if configured) finalize the process.
Setup Instructions
- Clone the repository: git clone https://github.com/riz4d/Layer3
- Configure the system: Add Firebase and Twilio credentials in layer/config.py.
- Install required dependencies: pip install -r requirements.txt
- Launch the server: python3 manage.py runserver
- Open your browser and visit: http://127.0.0.1:8000
Potential Applications
- Banking and Finance: For secure account access and fraud prevention.
- Corporate IT Systems: Protect sensitive organizational data.
- Healthcare Portals: Safeguard patient records and medical information.
- E-commerce Platforms: Secure transactions and prevent unauthorized purchases.
Future Enhancements
- Biometric Integration: Add fingerprint or facial recognition for an additional security layer.
- Mobile Compatibility: Create dedicated apps for seamless on-the-go authentication.
- Enhanced AI Features: Use AI to detect and adapt to suspicious login behaviors.
License
Licensed under the MIT License, Layer3 is open to contributions and collaboration, making it a community-driven project.