A Multi-property Method to Evaluate Trust of Edge Computing Based on Data Driven Capsule Network

Abstract

As one of the computing paradigms in the process of traditional cloud computing turning to marginalization, edge computing is designed to meet the requirements of edge devices such as real-time response, security, privacy and so on. However, resources in edge computing are generally heterogeneous and dynamic, resulting in lack of trust among devices or a completely untrusted computing resources. Thus, novel and effective methods to evaluate the trust of edge devices in order to increasing the adoption of edge computing resources, have become an urgent issue. In this context the paper proposes a multi-property method to evaluate trust of edge computing, we establish an objective expression of trust property by considering which factors affect trust evaluation in resource request or service application process from the perspective of dynamic change, then the data-driven capsule network is utilized to analyze the correlation between trust properties and gives an objective prediction of trustworthy. The main contribution of this paper is the design of an effective trust evaluation method, which gives the objective reliability of edge devices also coordinates all levels to provide users with trustworthy application services.