Cowrie Log Classification and Analysis Web Application

Project Overview

This web application is designed to provide analysis of cowrie log data by integrating pre-trained T5 downstream models via a Flask API. The project consists of two main sections: "Ask Me" and "Your Help Coach," each offering specific functionalities to classify log data and provide relevant suggestions for cyber attack mitigation.

The frontend is developed using Django and interacts with the backend via a Flask API to fetch results from a trained T5 model. This README will guide you through the setup, installation, and usage of the project.

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Table of Contents

• Project Overview
• Features
• Tech Stack
• Setup Instructions

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Features

1. Classification of Cowrie Logs:

   • Classifies various parameters from cowrie logs.
   • Provides the type of attack based on input.

2. Ask Me Function:

   • Accepts user questions related to cowrie logs and provides answers using a trained T5 model.

3. Suggestions for Cyber Attack Mitigation:

   • Offers recommendations based on classified attack types.

4. User Authentication:

   • Supports user registration and login for accessing personalized features.

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Tech Stack

• Backend:

  • Flask: Serves the pre-trained T5 model API.
  • T5 Model: Used for classification and question answering.

• Frontend:

  • Django: Provides the web framework for the user interface.
  • HTML/CSS: For structuring and styling the web pages.
  • AJAX: For handling asynchronous requests between the frontend and backend.

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Setup Instructions

Prerequisites

Make sure you have the following installed:

• Python 3.8+
• Django 4.x
• Flask
• Virtual environment tools (like venv or virtualenv)