Data privacy protection method based on dynamic context

Abstract

The invention discloses a data privacy protection method based on dynamic context, which is characterized in that the method comprises the following steps: (10) semantic coding: storing and coding thesource data object by adopting an XML document semantic coding scheme; the user's personal bipartite privacy graph and dynamic knowledge context are provided according to the encoding scheme. (20) user login: obtaining the visual range of the user and obtaining the dynamic knowledge context; 30) access operation, wherein that query is taken as a basic operation, the path of the visible range is locate, and the access operation result is determined accord to the matching judgment of the bipartite graph of privacy; (40) dynamic knowledge context updating: updating the dynamic knowledge contextaccording to the superposition of user query operations and the accumulation of acquired prior knowledge. The data privacy protection method of the invention has the advantages of high information security, high data utilization efficiency and good real-time resistance to inference attack.

Description

technical field [0001] The invention belongs to the technical field of real-time network anti-reasoning attack privacy protection, and is a dynamic context-based data privacy protection method with high information security, high data utilization efficiency, and good real-time anti-inference attack performance. Background technique [0002] Data access privacy protection usually uses methods such as attribute encryption, access control, restricted release, and differential privacy protection to prevent user privacy from being illegally stolen or reasoned. [0003] As the commonly used "fuzzification" in data publishing is more and more likely to be restored to individuals in connection reasoning attacks, the role of fuzzing in data publishing as a means of protecting personal privacy is becoming weaker; and the preprocessing of global reasoning is also The efficiency becomes a bottleneck in practical applications and cannot meet the needs of user privacy protection; differen...

AI Technical Summary

Problems solved by technology

[0005] However, in the actual operation process, the existing data privacy protection technology has the following problems: the prevention of reasoning attacks in the rule making module focuses on the top-level design, relies on the theoretical analysis of reasoning closures, and ignores the dynamic attribute changes of users in process attacks ; while the response time of the rule reasoning module to generate access control results is affected by the complexity of the access intention and may not be within the expected time limit

Moreover, the complex reasoning system is too rigid and inflexible for privacy protection, and even adopts over-protection in the processing of sensitive data, which leads to the reduction of data availability

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