Research on Dynamic Data Security Protection Model Based on Petri Nets

With the rapidly developing information technology, however, data has become an indispensable and important resource in modern society. However, the growing number of security threats, such as data leakage and illegal access, has brought great challenges to the data security of enterprises and organisations. Therefore, this study is designed to propose an efficient and accurate data classification and grading method, and to design data security protection strategies in conjunction with the information assurance model in order to cope with the current complex and changing data security environment. Firstly, Petri net is adopted as a modelling tool to describe the process of data generation, transmission, storage and processing by defining repositories and variations, so as to achieve the classification and grading of data. Subsequently, a comprehensive data security protection framework is constructed by combining the PDRR (Prevention, Detection, Response, Recovery) model with targeted protection strategies for different levels of data, and customised protection mechanisms are provided for all levels of data. This study provides new ideas and methods for data security management, which can help enterprises and organisations to better address data security challenges and ensure data integrity, availability and confidentiality.