Context Oriented Trust Management System for Fog-Based IoT

Abstract

Fog computing has transformed the Internet of Things by delivering computing facilities of the Cloud at the edge of the network. Compared to Cloud, Fog offers various advantages, including reduced latency and enhanced reliability. The Fog architecture is very dynamic in nature and its topology continuously changes as new objects enter and leave the network. This opens the door for malicious objects to infiltrate and disrupt the network. As the Fog-based IoT network expands rapidly, effective security in such a scenario becomes critical. Trust-based approaches have recently piqued the academic community’s interest to mitigate the security concerns of the Fog-based IoT. Trust among objects is vital because it allows them to distinguish and govern information exchange in the network. However, in the Fog-based IoT network context, which is a fundamental aspect of trust, has not been given sufficient attention yet. Thus, we propose in this paper a context-oriented, multi-source, similarity measures-based trust management system for Fog-based IoT. Our trust management model effectively incorporates context in the trust calculation process with respect to both servers and recommenders. By utilizing Bayesian inference and similarity scores to filter contextually similar service providers and recommenders respectively, our proposed trust management system is effective in calculating a context aware trust score.