Research on Adaptive Authentication Method for Access Permissions of Embedded Encryption Database System

The behavior patterns of users in embedded encrypted database systems may change over time. Adaptive authentication requires the ability to accurately identify these normal and abnormal behavioral changes and adjust user access permissions in a timely manner. However, it is difficult to accurately define and distinguish between normal and abnormal behavior. Therefore, a new adaptive authentication method for access permissions in embedded encrypted database systems is studied. Analyze the requirements for authentication and certification, adopt a multi-stage approach to enhance authentication efficiency, and set up a multi-stage adaptive authentication layer. Based on this, design an adaptive authentication model for access permissions in an embedded encrypted database system, and use integrated matching verification to achieve adaptive authentication. The test results show that compared with traditional methods, the success rate of access permission authentication designed in this study reaches over 95%, which has practical application value.