Optimizing Security and Efficiency in Fog Computing: A Trust Management System Driven by Quality Matrix

Abstract

As fog computing emerges as a natural extension of cloud computing, its decentralized nature brings numerous advantages, such as reduced latency and enhanced Quality of Service (QoS). However, this paradigm also introduces significant security and privacy challenges, particularly when fog nodes collaborate and exchange data. In this paper, we propose a robust trust management system that evaluates both Quality of Service (QoS) and Quality of Protection (QoP) metrics from direct and indirect interactions among fog nodes. Our approach helps mitigate security risks posed by potentially malicious nodes by incorporating a predictive trust evaluation system. The proposed system reduces malicious interactions by approximately 66% and enhances response times by reducing latency by around 15 seconds. The findings demonstrate that an effective trust management system is crucial for building secure and reliable fog computing environments.