Exploration of legal standards for anonymization of personal information in public security data openness scenarios
Zhang Han, Zhang Ning
Public Security Management College, People′s Public Security University of China
Abstract： Under the backdrop of public security data opening, the anonymization of personal information has gradually become the golden section point for balancing the opening of public security data and the protection of personal information. This study, through international comparative analysis, reveals the operational limitations of China′s current legal standard for anonymization processing, which is "unable to identify specific individuals and cannot be reverted". It selects the Administrative Penalty Decision published by the public security data opening platforms of 17 provinces and cities in China as samples to systematically evaluate the type, quantity, and quality of data opening. The study finds that due to the lack of rigid constraints in top-level design, excessive data secrecy, non-standard formats, and non-uniform processing standards, the opening of public security data anonymization is still in initial stage.China can establish a three-dimensional coordinated legal standard for anonymization processing:operational method standards for distinguishing direct identifiers from quasi-identifiers, re-identification risk inspection standards for introducing the role of motivated intruders, and de-identification effect evaluation standards. Through the synergistic effect of the three dimensions, it promotes the final realization of the legal effect of "unable to identify specific individuals and cannot be reverted" for public security anonymous data.
Key words : public security data disclosure; personal information; legal standards; anonymization; identifiers; re-identification risk assessment
