Datasets and Tools for IoT Intrusion Detection

This technical report provides a comprehensive survey of datasets and tools relevant to the security of Internet of Things (IoT) communications. It outlines the importance of datasets in training robust Intrusion Detection Systems (IDS) tailored for IoT environments, where traditional security measures may be inadequate due to device constraints. The report categorizes significant datasets available in the literature, comparing their characteristics, such as the types of traffic they represent and the features they include. Additionally, it discusses various software tools and frameworks that facilitate the generation of both benign and malicious network traffic, essential for constructing effective datasets. The analysis aims to support researchers and practitioners in selecting appropriate datasets and tools for enhancing IoT security measures. The document also addresses the evolving nature of threats in IoT systems and emphasizes the necessity for high-quality, representative datasets to improve IDS effectiveness against diverse security challenges.