城市政府开放数据的隐私风险及其技术控制策略

Privacy Risks and Technical Control Strategy of Open Government Data

城市政府开放数据中发布敏感数据可能产生以下威胁事件及其后果:重新识别、错误重新识别、基于档案建设的机会不平等、个人数据在线可发现性扩大、公众抵制。城市政府开放数据中可能会导致隐私风险的关键漏洞在以下几方面:直接识别数据、间接识别数据、元数据、地址数据、地理坐标、非结构化数据、敏感数据子集。我国应当在不同情形与不同数据集中,根据具体情境来实施包括数据泛化、数据随机处理、数据代码化处理在内的具体隐私保护策略,也可以同时综合运用各种策略。

Sensitive data released from open government data center might cause events of potential risks and results： re-identification,inaccurate re-identification, inequality of opportunity based on archive construction, online scalability of personal data, and public resistance. Open government data probably leads the following key loopholes of private risk： direct identifying data, indirect identifying data, metadata, address data, geographic coordinates, non-structured data, and sensitive data subset. According to the specific situation, we should implement privacy protection strategy, such as data generalization, random data processing, data code, and integrate various strategies.