同态加密隐私保护数据挖掘方法综述OA北大核心CSCDCSTPCD
Survey of privacy preserving data mining methods based on homomorphic encryption
近年来国内外学者对隐私保护数据挖掘(privacy-preserving data mining,PPDM)进行了大量研究,适时地对研究成果进行总结,能够明确研究方向.从分类挖掘、关联规则挖掘、聚类挖掘和安全多方计算等几个方面,总结了现有的基于同态加密技术的算法,分析了其基本原理和特点,并在此基础上指出了PPDM技术今后发展的方向.
In recent years, researchers at home and abroad have done much work on privacy-preserving data mining( PPDM),so summarizing the research results timely can make research directions clear.This paper surveyed the general PPDM methods based on homomorphic encryption and analyzed their theories and characteristics.Finally, discussed future research directions on PPDM.
钱萍;吴蒙
南京邮电大学,计算机学院,,南京,210003江苏科技大学计算机科学与工程学院,江苏,镇江,212003
信息技术与安全科学
隐私保护数据挖掘同态加密安全多方计算
privacy preservation data mining homomorphic encryption(HE) secure multi-party computation
《计算机应用研究》 2011 (5)
1614-1617,1622,5
国家"973"计划重点资助项目(2011CB302903)
评论