Multimodal Dynamic Weighted Authentication Trust Evaluation Under Zero Trust Architecture

With the improvement of computing power in terminal devices and their widespread application in emerging technology fields, ensuring secure access to terminals has become an important challenge in the current network environment. Traditional security authentication and trust evaluation methods have many shortcomings in dealing with dynamic and complex network environments, such as limited ability to respond to new threats and inability to adjust evaluation strategies in real time. In response to these issues, this article proposes a dynamic weighted authentication trust evaluation method driven by multimodal data under zero trust architecture. The method introduces user operation risk values and time coefficients, which can dynamically reflect the behavior changes of users and devices in different times and environments, achieving more flexible and accurate trust evaluation. In order to further improve the accuracy of the evaluation, this article also uses the dynamic entropy weight method to calculate the weights of the evaluation indicators. By coupling with the evaluation values, the terminal access security authentication trust score is obtained, and the current authentication trust level is determined to ensure the overall balance of the trust evaluation results. The experimental results show that compared with traditional evaluation algorithms based on information entropy and collaborative reputation, the average error of the method proposed in this study has been reduced by 87.5% and 75%, respectively. It has significant advantages in dealing with complex network attacks, reducing security vulnerabilities, and improving system adaptability.