基于K-匿名的快递信息隐私保护应用  

Express information protection application based on K-anonymity

作　　者：韦茜[1] 李星毅[1] 

机构地区：[1]江苏大学计算机科学与通信工程学院,江苏镇江212013

出　　处：《计算机应用研究》2014年第2期555-557,567,共4页Application Research of Computers

基　　金：国家"十一五"科技支撑计划资助项目(2006BAG01A0);国家自然科学基金资助项目(10972027);江苏大学校基金资助项目(11JDG064)

摘　　要：针对快递单号被盗取和快递单信息保护不当造成的隐私泄露问题进行了研究,提出了一种新型K-匿名模型对快递信息进行匿名处理。该方法通过随机打破记录中属性值之间的关系来匿名数据,相比于其他传统方法,克服了数据间统计关系丢失的问题和先验知识攻击。实验结果表明,新型K-匿名方法能够加强隐私保护和提高知识保护的准确性。Courier tracking number stolen and express list information are not protected carefully that may cause privacy leak- age. So this paper proposed a new K-anonymity model to protect express information. Unlike most anonymity methods, this method anonymized data by randomly breaking links among attribute values in records. By data randomization, this method maintained statistical relations among data to preserve knowledge, whereas in most anonymization methods, knowledge was lost. Further more, it proposed the algorithm for extra privacy protection to tackle the situation where the user＇s prior knowl- edge of original data may cause privacy leakage. Simulation results show that the new K-anonymity method can enhance priva- cy protection and improve the accuracy of the knowledge protection.

关 键 词：快递单 K-匿名模型 隐私保护 数据匿名 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]