Intrusion Detection in the Internet of Things (IoT): An Experimentation Environment for Obtaining Real Data on Emerging Protocols

• Isadora F. Spohr UFSM
• Douglas R. Fideles UFU
• Silvio E. Quincozes UFU / UNIPAMPA
• Juliano F. Kazienko UFSM
• Vagner E. Quincozes UFF

DOI: https://doi.org/10.5753/sbseg_estendido.2024.243399

Abstract

Efficient communication between Internet of Things (IoT) devices, especially in environments with limited computational resources, is a constant challenge. New protocols, such as Zenoh and the Data Distribution Service (DDS), have emerged to meet these demands, offering high performance and advanced features for large-scale distributed systems. However, the literature lacks public datasets for protocols like Zenoh and XRCE-DDS (eXtremely Resource Constrained Environments), limiting research in performance and security. This work presents the development of a detailed dataset on the performance of these protocols in various communication scenarios, providing a valuable resource for future research in real-time communication in IoT systems.

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