Research on the Application of User Behavior Auditing Based on Hidden Markov Model in Cloud Environment

In this paper, cloud environment security issues, cloud storage environment as the research object, focusing on the audit mechanism of user behavior in cloud environment. According to the security features of cluster data in cloud storage environment, a user behavior auditing model is proposed, and the data acquisition and preprocessing of user behavior audit are studied. This paper analyzes the source of the user behavior audit analysis data. In the process of audit data analysis and processing, a feature vector method is proposed to extract valuable information from audit data. A user behavior modeling method based on Hidden Markov model is proposed in this paper, the user behavior model is used to identify the validity of the user's operation, and to ensure the security of the data of the cloud platform.