GuardedGates

GuardedGates is a secure and efficient project that demonstrates the integration of various technologies to ensure the security of your applications. The project consists of two main parts: a frontend built with Python (Flask) and a backend built with .NET.

Features

• JWT Authentication: GuardedGates implements JSON Web Token (JWT) authentication for secure access to the backend services.
• ClamAV Integration: The backend utilizes ClamAV, a powerful open-source antivirus engine, to scan files for viruses.
• Ocelot API Gateway: Ocelot is used as an API gateway to streamline requests and responses across different services.
• Dapper ORM: The project utilizes Dapper, a simple object mapper for .NET, to access and manipulate data in the SQL Server database.
• Secure File Upload: Securely upload files to the server, ensuring they are scanned for viruses before processing.
• Weather Web Application: Included is a simple weather web application to demonstrate the functionality of the Ocelot API Gateway.

Components

• DapperMVCLearning.AuthenticationService: Class Library project used for JWT authentication.
• DapperMVCLearning.Data: Class Library project used to access data from the SQL Server database using Dapper.
• DapperMVCLearning.Ocelot: API Gateway for routing requests and responses.
• DapperMVCLearning.UI: Main web app project containing controllers for handling person, login, and file upload.
• DapperMVCLearning.VirusScanner: Class Library project used to access ClamAV running in a Docker container.
• DapperMVCLearning.WeatherWebApplication: A simple demo app for testing the Ocelot API Gateway.

Setup Instructions

1. Clone the repository: gh repo clone AdityaDwivediAtGit/GuardedGates
2. Set up the backend:
   • Ensure you have SQL Server installed and running.
   • Update the connection string in appsettings.json in the DapperMVCLearning.Data project.
   • Run the database migrations using scripts provided in the DapperMVCLearning.Data project.
3. Set up the frontend:
   • Install the required Python packages: pip install -r requirements.txt.
   • Start the Flask app: python app.py.
4. Access the frontend at http://localhost:1234 and explore the features.

Database Setup

• Use the DapperSqlScript.sql file to create tables and stored procedures in your SQL Server database.

Usage

• JWT Authentication: Generate a JWT token using the login functionality and use it to access protected routes.
• File Upload: Upload files through the frontend, ensuring they are scanned for viruses before processing.
• Ocelot API Gateway: Test the redirection of requests and responses using the Weather Web Application.

Credits

This project was created by Aditya Dwivedi for educational and demonstration purposes. It incorporates various technologies to showcase best practices in security and application development.

License

This project is licensed under the MIT License. Feel free to use, modify, and distribute the code for your own projects.