计算机科学 ›› 2025, Vol. 52 ›› Issue (11A): 241200047-8.doi: 10.11896/jsjkx.241200047
李金辉1, 曹利峰1, 汪小芹2, 白金龙1, 陈阳1
LI Jinhui1, CAO Lifeng2, WANG Xiaoqin2, BAI Jinlong2, CHEN Yang2
摘要: 为解决大数据聚合而引起敏感信息泄露的问题,对数据之间的关联性进行了深入的分析,提出了基于粒关联的数据聚合信息级别推演方法。根据数据属性的依赖关系,挖掘出高关联度的数据对象,进而依据数据对象关联属性的敏感级别模糊集可能性测度推演用户访问多信息系统时由数据聚合推导高敏感级别信息的可能性。这种方法有助于为用户制定数据访问策略,控制对关联数据的分析,降低信息泄露的风险。
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