An Optimization Method for Executor Construction in DHR System

To address the challenge that DHR system services face in coping with common vulnerability attacks, this paper proposes an algorithm to optimize the rules for constructing the executor. First, the prior probability of a component's defense capability is determined through an evaluation of the component. Then, the Bayesian probability of the component's defense capability is calculated using sample data. The components are ranked based on their Bayesian probability, with those having the highest probability being selected preferentially during the construction of the executor. Experimental results show that, compared to random component selection, the proposed algorithm offers more security.