Year: 2024
Type: conference-paper
Abstract: With the vigorous development of the power industry and the widespread application of big data, integrating, exchanging, and analyzing data to locate sensitive information and accurately and effectively protect sensitive information has become a key issue to be solved in data governance. This article analyzes mainstream desensitization methods, combines the characteristics of power grid data and desensitization needs, and constructs a dynamic data desensitization technology based on scenarios and user roles, focusing on the important object of the power grid-users. It carries out watermark based full process control and constructs dynamic data desensitization technology based on scenarios and user roles. It designs and configures flexible desensitization strategies and standardized processes to achieve automatic recognition and differential desensitization of sensitive data by user and scenario with high desensitization accuracy and fine granularity. Ensure the authenticity and availability of data while protecting user privacy.
Authors: Haiyang Liu, Mengjie Zhao, Ning Niu, Hongli Su, Xiuyan Hao
Institution: State Grid Corporation of China (China)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410858362