信息来源 在中国COVID-19大流行期间个人数据泄露的特征:观察性研究
Zhong Wang1, Fangru Hu2, Jie Su3
1School of Economics, Guangdong University of Technology, Guangzhou, China.
JMIR medical informatics
|December 10, 2024
概括
在中国时期的中国.
科学领域:
- 公共卫生 公共卫生
- 信息安全 信息安全
- 数据 隐私 数据 隐私 数据
背景情况:
- 由于COVID-19的流行,中国需要大量收集个人数据.
- 这一时期,隐私泄露事件增加了.
- 了解数据源特征对于防止未来的数据泄露至关重要.
研究的目的:
- 调查在中国COVID-19大流行期间涉及个人数据泄露的信息来源的特点.
- 识别导致数据泄露的组织和个人因素中的模式.
主要方法:
- 使用开放编码分析了40个个人数据泄露案例.
- 用1D和2D矩阵分析数据以识别源特性.
主要成果:
- 数据泄露主要发生在副县级政府机构中,通常不会发生在医疗系统或高级组织中.
- 正规和初级员工是最常见的泄露者,而不是临时员工或高级管理人员.
- 家庭微信群是主要的披露途径,主要是通过文件转发,屏幕截图/照片不太常见.
结论:
- 建议包括限制非医疗和低级政府机构收集数据.
- 加强初级员工的隐私保护培训是必不可少的.
- 建议实施技术措施来控制社交媒体上的数据流.
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