Enhancing Trustworthiness in Fog Computing: A Multi-Criteria Approach for EEG Applications

Abstract

In this research, we investigate how to include a Trust Management System (TMS) into fog computing—a decentralized computing architecture that expands cloud computing's capabilities to the edge of a network. We conduct an inquiry into the application and evaluation of a new multi-criteria trust mechanism designed specifically for fog computing settings. This approach, which combines "soft trust" with "hard trust," is essential to assessing and controlling the dependability and credibility of entities in the fog computing environment. We discover that the implementation of trust models in this setting improves the reliability and usefulness of Electroencephalography (EEG) applications in various domains, including neurology and clinical medicine. Additionally, these models aid in the creation of implementations that are safe, intuitive, and compliant with ethical standards.