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@sathvik-shettyy sathvik-shettyy released this 02 Feb 10:55
v1.0
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Cyber Attack Visualizer v1.0 Release Notes

Introduction

Cyber Attack Visualizer is a dynamic script designed to provide users with real-time visualizations of global cyber attack data. Leveraging Flask, Plotly, Socket.IO, and other key libraries, the project offers an interactive and insightful experience for monitoring cyber threats worldwide.

Key Libraries and Frameworks

Flask

Flask serves as the backbone for creating a lightweight and flexible web application. It efficiently manages backend processes, enabling seamless communication between the server and clients.

pip install Flask

Plotly

Plotly is a versatile graphing library used to generate interactive visualizations. In Cyber Attack Visualizer, Plotly is instrumental in creating dynamic geographical maps and charts to represent live cyber attack data.

pip install plotly

Socket.IO

Socket.IO facilitates real-time bidirectional communication between the server and clients. It ensures that the Cyber Attack Visualizer continuously updates and displays the latest information on cyber attacks.

npm install socket.io-client

Requests

Requests simplifies making HTTP requests in Python. The library fetches live cyber attack data from external sources, contributing to the real-time nature of the visualizations.

pip install requests

Project Structure

app.py

The main script, app.py, orchestrates the backend processes. It fetches live cyber attack data, processes it, and uses Plotly to create visualizations. Socket.IO ensures real-time updates, providing users with the latest information on cyber threats.

templates/index.html

The HTML template, index.html, sets up the front-end for displaying live cyber attack visualizations. It incorporates Plotly and Socket.IO to create an engaging and interactive user interface.

How to Run

  1. Install dependencies using the provided requirements.txt file:

    pip install -r requirements.txt

  2. Run the Flask app with Socket.IO support:

    python app.py

  3. Access the visualizations by navigating to http://localhost:5000 in your web browser.

Release Notes

Version 1.0

  • Initial release of Cyber Attack Visualizer.
  • Real-time visualization of global cyber attack data.
  • Interactive maps and charts powered by Plotly.
  • Seamless communication with clients through Socket.IO.

Future Updates

The development team is committed to enhancing Cyber Attack Visualizer in future releases, including:

  • Additional features for in-depth cyber threat analysis.
  • Support for customization and user preferences.
  • Integration with diverse data sources for comprehensive insights.

Stay tuned for more updates and improvements!

Feedback

Your feedback is crucial for the ongoing development of Cyber Attack Visualizer. Report any issues, suggest new features, or share your experience with the script.

Thank you for using Cyber Attack Visualizer v1.0!

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