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公安数据开放场景下个人信息匿名化处理法律标准探究

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在公安数据开放的背景下,个人信息匿名化处理逐渐成为平衡公安数据开放与个人信息保护的黄金分割点.通过国际横向比较分析,揭示了我国现行"无法识别特定个人且不能复原"的匿名化处理法律标准在操作层面的局限性,并选取我国17省市公安数据开放平台发布的《行政处罚决定书》为样本,对数据开放的类、量、质进行系统性评估.研究发现,公安数据匿名化开放尚处于初步阶段,存在顶层设计缺乏刚性约束、数据过度保密、格式不规范和处理标准不统一等现象.基于此,我国可以确立操作方法、风险检验及效果评估三维协同的匿名化处理法律标准:区分处理直接标识符与准标识符的操作方法标准,引入蓄意侵入者角色的再识别风险检验标准,以及去识别化效果评估标准.通过三重维度的协同作用,助推公安匿名数据最终实现"无法识别特定个人且不能复原"的法律效果.
Exploration of legal standards for anonymization of personal information in public security data openness scenarios
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 Deci-sion published by the public security data opening platforms of 17 provinces and cities in China as samples to systematically evalu-ate 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 anony-mization 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.

public security data disclosurepersonal informationlegal standardsanonymizationidentifiersre-identification risk assessment

张寒、张宁

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中国人民公安大学 公安管理学院,北京 100032

公安数据开放 个人信息 法律标准 匿名化处理 标识符 再识别风险检验

2024

网络安全与数据治理
华北计算机系统工程研究所(中国电子信息产业集团有限公司第六研究所)

网络安全与数据治理

影响因子:0.348
ISSN:2097-1788
年,卷(期):2024.43(11)