面向数据挖掘的匿名化隐私数据发布系统设计  

Design of anonymous privacy data publishing system for data mining

作　　者：吴响 俞啸 王换换 

机构地区：[1]徐州医科大学医学信息学院,江苏徐州230026

出　　处：《电子技术应用》2016年第11期62-65,共4页Application of Electronic Technique

基　　金：江苏省产学研联合创新项目(BY2014033);徐州市科技计划项目(XM13B021);国家安全生产重大事故防治关键技术科技项目(Jiangsu-0006-2016AQ)

摘　　要：为了最大限度地保证隐私数据不被泄漏,设计并研发了面向数据挖掘技术的匿名化隐私数据发布系统。系统以Exynos 4412为主处理器,同时搭载μClinux操作系统,在处理数据的过程中实现并优化了多种经典匿名算法(如Incognito算法、Samariti算法、Datafly算法等),通过内置嵌入式Web服务器实现浏览器远程连接配置系统运行信息,并获取运行结果。同时,系统可以通过数据库的自定义配置及上传新增算法来实现数据的定制化发布。实验表明,系统算法执行效率高,能够有效地对发布数据进行隐私保护,为数据挖掘过程中的隐私泄漏问题提供了便捷可靠的解决方案。In order to ensure that the privacy data is not compromised, the anonymous privacy data publishing system is designed and developed for data mining. The system uses Exynos 4412 as the main processor and is equipped with μClinux operating system. It realizes and optimizes many classical anonymity algorithm （like Incognito algorithm, Samariti algorithm, Datafly algorithm and so on） in the process of handling data, realizes the browser connect and deploys the information of system operation remotely by the Built-in embedded server and the results. At the same time, the system can achieve customized data release requirement of the user by setting custom configuration of database and uploading the new algorithm. Experiment shows that the system has high efficiency and it can protect the privacy of publish data effectively, which provides a convenient and reliable solution for data mining.

关 键 词：嵌入式WEB服务器 ΜCLINUX 隐私保护 数据发布 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]