CyberExpert Log Analyzer & Mitigation Suggester

Overview

This project, potentially developed as a Final Year Project (FYP), provides an application (CyberExpert) that leverages a fine-tuned language model to analyze security event logs. Its primary functions are:

1. Summarize Event Logs: Condense potentially verbose log data into concise summaries.
2. Identify Potential Threats: Analyze the summarized logs to highlight potential security issues.
3. Suggest Mitigation Actions: Based on the identified threats, recommend steps to mitigate them.

The core of the application relies on a model fine-tuned specifically for this cybersecurity task using the provided dataset.

Features

• Automated processing of event logs.
• Intelligent summarization using a fine-tuned model.
• Threat identification within log data.
• Actionable mitigation suggestions.

Project Structure

.
├── APP/                  # Contains the main application code (CyberExpert)
│   └── ...             # (Placeholder: specific app files like AI Agent files and etc...)
├── DATA/                 # Contains dataset and preparation scripts
│   ├── Dataset_final.json # The final dataset (10k records) used for fine-tuning
│   └── data_prep.py      # Python script for cleaning/preparing raw data into Dataset_final.json format
├── FYP_Fine_Tuning.ipynb # Jupyter Notebook detailing the model fine-tuning process
└── README.md             # This file (you are here!)