基于PPDM的智慧图书馆用户隐私数据保护研究

目的/意义] 数字图书馆逐渐向智慧图书馆转变。图书馆数据的收集、分析等数据使用行为不断被实践，并对业务管理与服务创新做出一定的贡献。然而，涉及用户隐私敏感数据的使用可能会带来安全方面的问题。方法/过程] 本文在分析传统的图书馆数据挖掘方法基础上，尝试引用PPDM（Privacy-Preserving Data Mining）的数据泛化、清洗、屏蔽、扭曲等方法，将数据挖掘与业务需求相融合，并以用户数据规范化使用为目标，探索智慧服务背景下用户隐私保护机制，构建业务实施与数据保护融合的可行性方案。结果/结论] 智慧图书馆数据收集、数据发布、数据共享、数据汇聚都可以借鉴PPDM方法对用户隐私数据加以保护。智慧图书馆只有紧密联系技术创新才能够保障服务创新，从而促进智慧图书馆事业的发展。

Research on User Privacy Data Protection of Smart Library Based on PPDM

Purpose/Significance] Digital libraries are also gradually transforming into smart libraries.The collection,analysis and other data usage behaviors of library data are constantly practiced,and make certain contributions to business management and service innovation.However,the use of sensitive data involving user privacy can raise security concerns.Method/Process] Based on the analysis of data mining method based on the traditional library,try reference PPDM(privacy preserving data mining),the method of data generalization,cleaning,shielding,distortion,etc,and the integration of business requirements,data mining and the user data is standardized as the goal,to explore the smart service under the background of user privacy protection mechanism,build business implementation and data protection,the feasibility of integration solutions.Pesult/Conclusion] The PPDM method can be used for data collection,data release,data sharing and data aggregation in a smart library to protect user privacy data.Only by closely connecting with technological innovation can smart libraries guarantee service innovation and thus promote the development of smart libraries.