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Anti-Malware Detector System

Overview

The Anti-Malware Detector System is designed to detect and monitor malware activities within a system. It provides real-time analysis and reporting to ensure system integrity and security.

Table of Contents

Features

  • Real-time malware detection and monitoring
  • User-friendly interface for system analysis
  • Detailed reporting of detected threats
  • Cross-platform support through containerization

Technologies Used

  • Backend: TypeScript, Node.js
  • Frontend: React, TypeScript
  • Containerization: Docker
  • Scripting: Shell scripts for automation tasks

Project Structure

anti-malware-detector-system/
├── backend/             # Server-side code and core logic
├── frontend/            # Client-side code and user interface
├── scripts/             # Utility scripts for setup and deployment
├── docker-compose.yml   # Docker configuration file
└── README.md            # Project documentation

Installation

To set up the project locally:

  1. Clone the repository:

    git clone https://github.com/anasbehhari/anti-malware-detector-system.git
  2. Navigate to the project directory:

    cd anti-malware-detector-system
  3. Ensure Docker is installed. If not, download and install it from Docker's official website.

  4. Build and start the containers:

    docker-compose up --build

    This command will set up the backend and frontend services as defined in the `docker-compose.yml` file.

Usage

Once the containers are running:

  • Access the application: Open your browser and navigate to `http://localhost:3000\` to interact with the frontend interface.

  • Monitor system activity: Use the dashboard to view real-time data on system processes and potential malware threats.

  • Review reports: Access detailed logs and reports to analyze detected activities and take necessary actions.

Contributing

We welcome contributions to enhance the Anti-Malware Detector System. To contribute:

  1. Fork the repository.

  2. Create a new branch:

    git checkout -b feature/your-feature-name
  3. Make your changes and commit them:

    git commit -m \"Add your descriptive commit message here\"
  4. Push to your forked repository:

    git push origin feature/your-feature-name
  5. Submit a pull request to the main repository.

License

This project is licensed under the MIT License. You are free to use, modify, and distribute this software in accordance with the license terms.

Contact

For questions, suggestions, or feedback:

We appreciate your interest and contributions to improving system security through this project.

About

A real-time malware detection system that monitors system activities, identifies potential threats, and provides detailed reports to enhance security

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