Lightweight Fuzzy Logical MQTT Security System to Secure the Low Configurated Medical Device System by Communicating the IoT
A. Basi Reddy, Kanegonda Ravi Chythanya, K A Sharada, R. Senthamil Selvan · 2025
Innovations in IoT have accelerated the creation of cutting-edge methods of communication. Application protocols like Constrained Application System Protocol and Message Queuing Telemetry Transport (MQTT) system protocol allow machines in the Internet of Things to communicate with one another. Given the transparency of these protocols, they are susceptible to a wide range of attacks, including Denial of Service (DoS). Secure Internet of Things applications, such as health monitoring, use MQTT extensively. The DoS assault is one of the most common types of cyberattacks in the IoT. As a result, it's more important that MQTT-based applications have an effective intrusion detection system mechanism. This article discusses how unauthorized users may take command of a network's low-configuration devices by exploiting flaws in the MQTT protocol. This study introduces Secure-MQTT, a trivial fuzzy logical system–based intrusion detection technique to identify harmful activities during IoT device connection. Using a fuzzy rule interpolation mechanism, the recommended approach employs a fuzzy logic–based system to identify the harmful behaviour of the node. Secure MQTT avoids a cumbersome rule site by using fuzzy rule interpolation, a rule generation method that operates on the fly. The suggested solution offers a reliable defense against DoS attacks for devices with limited resources. The results from the simulation demonstrate that the suggested strategy is superior to the current methods.