Agent-Based Credibility Protection Model for Decentralized Network Computing Environment

Abstract

Decentralized networks have some unique characteristics, such as heterogeneity, autonomy, distribution and openness, which lead to serious security issues and low credibility. In this paper, the agent technology is utilized to construct a novel credibility protection model, which efficiently makes open, disordered, decentralized networks evolve gradually as an orderly, stable and reliable computing environment. Within this model, our research is focused on the credibility measurement mechanism, and a novel behavior-credibility evaluation algorithm is proposed. The evaluation value of behavior-credibility is calculated based on the current and historical performances of nodes as service providers and consumers to make an accurate prediction. Based on a decentralized network simulation environment, we conducted several rounds of simulation experiments to test the function, performance and validity of the model, mechanism and algorithm.