CyberShield V2.0🛡️

CyberShield V2.0 is a comprehensive cybersecurity project that includes a browser extension and a backend system for detecting phishing attacks and fraudulent activities in real-time. It leverages an AI-powered chatbot with Mistral AI for advanced fraud detection and conversational support, making it a powerful tool for personal security.

---

Table of Contents

• Features
• Installation
• Folder Structure
• Usage
• Technologies
• License

---

Features

• Browser Extension: Detects phishing attempts in real-time via a user-friendly popup interface.
• Backend AI Models: Powered by machine learning for fraud detection, including datasets:
  • Phishing detection Learn more
  • IEEE fraud detection Learn more
• AI Chatbot: Integrates Mistral AI for conversational analysis, refining fraud predictions and providing natural language responses in over 100 languages.
• Multilingual Support: Supports detection and interaction in multiple languages using Google Translate API.
• Easy-to-Use Interface: Intuitive design with threat level indicators and scanning animations.
• Structured, Modular Codebase: Designed for easy maintenance and future enhancements.

---

Installation

1. Clone the repository

git clone https://github.com/itsbk13/Project_CyberShield_ext.git
cd Project_CyberShield_ext

2. Backend Setup

cd v2.0_ext/backend
# Install required Python packages
pip install -r requirements.txt
# Apply database migrations
python manage.py migrate
# Run Django server
python manage.py runserver

3. Extension Setup

• Open Chrome/Edge and go to chrome://extensions/
• Enable Developer mode
• Click Load unpacked and select the v2.0_ext/extension folder

Folder Structure

v2.0_ext/
├── backend/                      # Django backend with AI models and Mistral API integration
├── extension/                    # Browser extension files (HTML, JS, CSS, icons)
├── CyberShield_ML(Model).ipynb   # Trained ML Model Code Snippets
└── README.md

Usage

• Start the backend server.
• Load the browser extension.
• Interact with the extension:
  • Toggle the Analyse button to enable threat level analysis with the backend-trained model.
  • If Analyse is on, the AI chatbot will scan and respond with threat levels (Safe, Medium, High) and advice otherwise it will reply conversationally.
  • Switch languages using the dropdown to test multilingual support.
• Monitor the scanning indicator and threat level UI for real-time feedback when analysis is active.

Technologies

• Python, Django: Backend framework with REST API for fraud analysis.
• Machine Learning Models: Pickle-based models for phishing and fraud detection.
• Mistral AI: Powers the chatbot for conversational fraud refinement and natural language processing.
• Google Translate API: Enables multilingual support for over 100 languages.
• HTML, CSS, JavaScript: Frontend for the browser extension with dynamic UI.
• SQLite: Lightweight database for backend storage.

License

• This project is licensed under the PolyForm Noncommercial License v1.0.0.
• You may use and modify it for personal, non-commercial purposes, but any use for commercial advantage or monetary compensation is strictly prohibited.
• Commercial use or sale is prohibited without explicit permission from the Authors