building IoT IDS requires the availability of datasets to process

Threat Modeling Dataset for Software Systems

Author: Leonid Zelenskiy Supervisor: Andrey Sadovykh Repository: github.com/RamPrin/LLM_TM

Overview

This repository contains a curated dataset for evaluating threat modeling approaches, specifically focused on cybersecurity testing and large language models (LLMs). It includes structured software system specifications and corresponding cybersecurity threats to support experiments in automated threat detection, analysis, and model evaluation.

Dataset Structure

• test_dataset A CSV file containing cleaned system specifications suitable for natural language processing (NLP) tools. Format:

• validation_dataset A CSV file listing manually identified cybersecurity threats used for validation. Format:

Purpose

This dataset supports research in automating the threat modeling process, with particular relevance to cybersecurity testing scenarios. It enables benchmarking of model performance in recognizing and generating relevant security threats based on structured system descriptions.

Sources

System information was extracted from a variety of reliable and public documentation, including RFCs, whitepapers, technical blogs, and academic research. Below is a mapping of each system to its original source.

System Description Sources