Data Breach Analysis Tool

Overview

The Data Breach Analysis Tool is a comprehensive application designed to analyze historical data breach records. By utilizing modern web technologies and machine learning algorithms, the tool helps in visualizing trends, identifying patterns, predicting future breach risks, and providing detailed reporting on the impacts of data breaches.

Features

• Data Import: Import and analyze historical data breach records from multiple sources.
• Trend Visualization: Visualize trends and patterns in data breaches using interactive charts and graphs.
• Predictive Analytics: Use machine learning models to predict future data breach risks.
• Detailed Reporting: Generate detailed reports on the impact and severity of data breaches.
• User-Friendly Interface: Intuitive and responsive web interface built with the MERN stack.

Tech Stack

• Frontend: React.js, HTML5, CSS3, JavaScript
• Backend: Node.js, Express.js
• Database: MongoDB
• Machine Learning: Python, scikit-learn, TensorFlow, Keras
• Deployment: (optional) Instructions on how to deploy the app using platforms like Heroku, AWS, or Azure.

Installation and Setup

Prerequisites

• Node.js & npm: Ensure Node.js is installed. Download Node.js
• Python: Ensure Python is installed. Download Python
• MongoDB: Set up MongoDB locally or using MongoDB Atlas.
• VS Code Extensions:
  • ESLint
  • Prettier
  • Python
  • MongoDB for VS Code

Contact

• Author: Meer Modi
• Email: mnm23@njit.edu

Project Structure

data-breach-analysis-tool/
├── backend/
│   ├── models/
│   ├── routes/
│   ├── controllers/
│   ├── app.js
│   └── .env
├── frontend/
│   ├── src/
│   ├── public/
│   ├── package.json
│   └── .env
├── ml-models/
│   ├── data/
│   ├── notebooks/
│   ├── models/
│   ├── scripts/
│   ├── main.py
│   └── requirements.txt
└── README.md