Fuzzy Logical Method Based Analysis of Safety Data Management and Risk Management In IOT Sector

Abstract

There has lately been much focus on the Internet of Things (IoT) by both organization and instutions A stable and safe IoT connectivity and interaction is necessary for the best functioning of the entire IoT network. A robust IoT network protection can be achieved by facilitating and creating reliable communication between items (nodes). The latest issues such as the absence of clever group -based confidence solutions for networks and the identification of malicious nodes assaults on the IoT trusting infrastructure, like poor service providers.. Furthermore, we are building a pointless, logical approach for the detection of fraudulent nodes engaged in inadequate delivery of services.Ultimately, we create a safe message system to ensure IoT network security that enables reliable node-to-node communications. The message system with a serial communication framework can use that hexadecimal meaning.We have performed detailed tests under different network size variations to evaluate the work of our proposed solutions as well as to monitor the effectiveness of the suggested methods with respect to several types of viral behaviour.