Encryption of Association Rules Using Modified Dynamic Mapping and Modified (AES) Algorithm

Enaas M Hussein, Russeen M Hussain
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引用次数: 3

Abstract

Data mining which also sometimes called (knowledge discovery) or (data discovery) is the method of analysing hidden patterns of data according to different viewpoints of categorisation (clustering, classification, association rules, sequence mining) and find meaningful information. Retaining the security of the data when we need mining can be in a different technique according to data type, security need, and performance. This paper is focused on case there is need to obtain all the rules with highly sensitive data and for that reason using technique of regular Privacy-Preserving Data Mining (PPDM) will cause to hide some sensitive rules that intensely need it, proposed solution is by using encryption algorithm to secure the rules that get from mining algorithm.
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基于改进动态映射和改进AES (Modified Dynamic Mapping and Modified AES)算法的关联规则加密
数据挖掘,有时也被称为知识发现或数据发现,是根据不同的分类观点(聚类、分类、关联规则、序列挖掘)分析数据隐藏模式并发现有意义信息的方法。根据数据类型、安全需求和性能,在需要挖掘时保留数据的安全性可以采用不同的技术。针对需要获取高敏感数据的所有规则,而使用常规的隐私保护数据挖掘(PPDM)技术会导致某些敏感规则被隐藏的情况,提出了采用加密算法对挖掘算法得到的规则进行保护的解决方案。
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