A Comparative Study of Recent Advances in Internet of Intrusion Detection Things

TL;DR

This paper provides a comprehensive comparative analysis of recent IoT intrusion detection systems, examining their architectures, classifications, and evaluation methods to advance IoT security research.

Contribution

It offers a detailed comparison of recent IoT intrusion detection techniques, highlighting their architectures and evaluation methodologies, which is a novel synthesis in this field.

Findings

Identified key architectures of IoT intrusion detection systems

Compared various classification approaches for IoT IDS

Reviewed evaluation methodologies used in recent IoT IDS studies

Abstract

The Internet of Things (IoT) has revolutionized the way devices communicate and interact with each other, but it has also created new challenges in terms of security. In this context, intrusion detection has become a crucial mechanism to ensure the safety of IoT systems. To address this issue, a comprehensive comparative study of advanced techniques and types of IoT intrusion detection systems (IDS) has been conducted. The study delves into various architectures, classifications, and evaluation methodologies of IoT IDS. This paper provides a valuable resource for researchers and practitioners interested in IoT security and intrusion detection.