A Review of Intrusion Detection Techniques in MQTT-Enabled IoT Networks
Miracle Udurume, Judith Nkechinyere Njoku, Vladimir Shakhov, Insoo Koo · 2024
The rapid adoption of the Internet of Things (IoT) has led to the deployment of numerous devices communicating through protocols, with the Message Queuing Telemetry Transport (MQTT) being one of the most widely used. However, MQTT and IoT devices are susceptible to various cyber threats due to their inherent limitations in security methods. This study offers a brief analysis of intrusion detection methods designed especially for MQTT-enabled IoT networks. The study outlines the difficulties posed by the unique characteristics of MQTT, such as its resource-constrained environment and lightweight architecture, and it examines several detection techniques, such as hybrid, anomaly-based, and signature-based approaches. The paper highlights the effectiveness of these techniques in detecting various intrusion attacks including DoS attacks, unauthorized access, and data tampering, and concludes with suggestions for future research areas focusing on advanced machine-learning techniques and scalable security mechanisms tailored to the dynamic nature of IoT networks.