{"id":25724321,"url":"https://github.com/cyberdemon73/transaction-fraud-detection-system","last_synced_at":"2026-07-23T23:30:17.606Z","repository":{"id":214859860,"uuid":"733721207","full_name":"CyberDemon73/Transaction-Fraud-Detection-System","owner":"CyberDemon73","description":"This system merges card management with transaction processing, emphasizing real-time fraud detection. 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It employs sophisticated algorithms to flag unusual transaction patterns, enhancing security in financial operations. The system combines user-friendly interfaces with robust back-end technologies, including Python, Flask, and SQLite, to efficiently manage and monitor card-related services and transactions. Its standout feature is the proactive detection and mitigation of fraudulent activities, showcasing practical applications of fraud detection in digital finance.\n\n## Table of Contents\n- [Architecture](#architecture)\n- [Features](#features)\n  - [Card Management System (CMS)](#card-management-system-cms)\n  - [Transaction Processing System (TXN)](#transaction-processing-system-txn)\n- [Technologies Used](#technologies-used)\n- [Setup](#setup)\n- [Docker Setup](#docker-setup)\n- [Usage](#usage)\n- [Error Handling](#error-handling)\n- [Logging](#logging)\n- [Security](#security)\n- [Monitoring](#monitoring)\n- [Key Functions](#key-functions)\n  - [Card Generation](#card-generation)\n  - [Risk Calculations](#risk-calculations)\n  - [Fraud Detection Cases](#fraud-detection-cases)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Architecture\nThe Card Management and Transaction Processing System is designed as a client-server architecture with two main components:\n\n### Card Management System (CMS):\n- Responsible for managing cards, including card issuance, balance adding, and bin management.\n- Handles user authentication and authorization.\n- Provides a user-friendly web interface for administrators.\n\n### Transaction Processing System (TXN):\n- Manages real-time transaction tracking and risk assessment.\n- Calculates transaction risk scores based on various factors.\n- Includes fraud detection mechanisms and logs suspicious transactions.\n\nBoth components share a common database to store card and transaction data, allowing seamless integration and communication between the CMS and TXN.\n\n## Features\n\n### Card Management System (CMS)\n- **Bin Adding**:\n  - Add and manage BIN (Bank Identification Number) details.\n  - Perform operations related to BIN management.\n- **Card Issuing**:\n  - Issue new cards to customers.\n  - Configure card details such as card number, cardholder name, expiry date, and CVV.\n- **Balance Adding**:\n  - Add funds to existing cards.\n  - Manage card balances efficiently.\n\n### Transaction Processing System (TXN)\n- **Transaction Tracking**:\n  - Track card transactions in real-time.\n  - Calculate transaction risk scores based on various factors.\n  - Log transaction details for auditing and monitoring.\n\n## Technologies Used\n- Frontend: HTML, CSS, JavaScript\n- Backend: Python with Flask framework\n- Database: SQLite for data storage\n- Authentication: Flask-Login for user authentication\n- Logging: Python logging library\n\n## Setup\nFollow these steps to set up the Card Management and Transaction Processing System on your local machine:\n\n```bash\n# Clone the repository\ngit clone https://github.com/CyberDemon73/Transaction-Fraud-Detection-System.git\n\n# Navigate to the project directory\ncd cms-txn-project\n\n# Create a virtual environment (recommended)\npython -m venv venv\n\n# Activate the virtual environment\n# On Windows:\nvenv\\Scripts\\activate\n# On macOS and Linux:\nsource venv/bin/activate\n\n# Install project dependencies\npip install -r requirements.txt\n\n# Initialize the database\nflask db init\nflask db migrate\nflask db upgrade\n\n# Start the application\nflask run\n\n#OR\npython3 CMS.py\n\n# In another window in the same directory\npython3 TXN.py\n\n```\n#### Open your web browser and go to http://localhost:5000 to access the CMS (Card Management System).\n#### Open your web browser and go to http://localhost:5002 to access the TXN (Transaction Server).\n\n## Docker Setup\nTo create a Docker image for your project and launch CMS.py on port 5000 and TXN.py on port 5002, you can follow these steps:\n\n### Create a Dockerfile in your project directory:\n```Dockerfile\n# Use an official Python runtime as a parent image\nFROM python:3.8-slim\n\n# Set the working directory in the container\nWORKDIR /app\n\n# Copy the current directory contents into the container at /app\nCOPY . /app\n\n# Install any needed packages specified in requirements.txt\nRUN pip install -r requirements.txt\n\n# Expose ports\nEXPOSE 5000\nEXPOSE 5002\n\n# Define environment variables\nENV FLASK_APP \"CMS.py\"\nENV FLASK_RUN_HOST \"0.0.0.0\"\n\n# Run the application\nCMD [\"flask\", \"run\", \"--port=5000\"]\n```\n### Building the Docker Image\n\n```bash\n# Build the Docker image from the Dockerfile in the current directory\ndocker build -t my-project-image .\n```\nReplace my-project-image with a suitable name for your Docker image.\n\n### Running the Docker Containers\n### For CMS.py on Port 5000:\nTo run the CMS component of your application, execute the following command:\n\n```bash\n# Run the container for CMS.py, mapping the host's port 5000 to the container's port 5000\ndocker run -d -p 5000:5000 my-project-image\n```\n\n### For TXN.py on Port 5002:\nSimilarly, to run the TXN component, use this command:\n\n```bash\n# Run the container for TXN.py, mapping the host's port 5002 to the container's port 5002\ndocker run -d -p 5002:5002 -e FLASK_APP=\"TXN.py\" my-project-image\n```\nThese commands start containers based on the image you built, mapping the container ports to the specified host ports.\n\n### Accessing the Application\n#### CMS Interface: Access your CMS at http://localhost:5000\n#### TXN Interface: Access TXN at http://localhost:5002 \n\n\n## Usage\n### Card Management System (CMS):\n- Click on \"Bin Adding\" to manage BIN details.\n- Navigate to \"Card Issuing\" to issue new cards to customers.\n- Go to \"Balance Adding\" to add funds to existing cards.\n\n### Transaction Processing System (TXN):\n- Visit \"Transaction Tracking\" to track card transactions and view transaction risk scores.\n\n## Error Handling\nBoth the CMS and TXN components include robust error handling to ensure smooth operation and a user-friendly experience. Errors are logged for debugging purposes, and users receive appropriate error messages when issues occur.\n\n## Logging\nThe application implements logging to capture various events, errors, and user interactions. Logs are stored for auditing, monitoring, and debugging. Log files can be configured to rotate periodically to prevent excessive disk usage.\n\n## Security\nThe CMS and TXN components take security seriously. User authentication is handled with Flask-Login, ensuring that only authorized users can access sensitive functionalities. Additionally, input validation and sanitation are enforced to prevent common security vulnerabilities, such as SQL injection and cross-site scripting (XSS) attacks.\n\n## Monitoring\nThe application includes monitoring features to track user interactions, system performance, and potential issues. Monitoring tools can be integrated to provide real-time insights into the application's health.\n\n## Key Functions\n### Card Generation\nThe \"Card Issuing\" feature in the CMS allows administrators to generate new cards for customers. It includes functionality to configure card details like card number, cardholder name, expiry date, and CVV.\n\n### Risk Calculations\nThe \"Transaction Tracking\" feature in the TXN component calculates transaction risk scores based on various factors, such as CVV attempts, transaction amount, cardholder age, and the country of the transaction. These risk scores help identify potentially fraudulent transactions.\n\n### Fraud Detection Cases\nThe TXN component includes fraud detection mechanisms that trigger when certain conditions are met, such as multiple incorrect CVV attempts on an active card, large transaction amounts with a high number of transactions in a short time, or transactions flagged as suspicious by a fraud detection system. These cases are logged and monitored for further investigation.\n\n## Contributing\nContributions are welcome! If you would like to contribute to the project, please follow these steps:\n1. Fork the repository.\n2. Create a new branch for your feature: `git checkout -b feature-name`\n3. Commit your changes: `git commit -m 'Add feature-name'`\n4. Push to your fork: `git push origin feature-name`\n5. Submit a pull request.\n\n## License\nThis project is licensed under the MIT License.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyberdemon73%2Ftransaction-fraud-detection-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcyberdemon73%2Ftransaction-fraud-detection-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyberdemon73%2Ftransaction-fraud-detection-system/lists"}