文章基本信息

标题：Data Outsourcing based on Secure Association Rule Mining Processes
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作者：V. Sujatha ; Debnath Bhattacharyya ; P. Silpa Chaitanya 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2015
卷号：9
期号：3
页码：41-48
DOI：10.14257/ijsia.2015.9.3.05
出版社：SERSC
摘要：Data mining is the process of extracting information from data warehousing applications. Data outsourcing is the major task in present days, for accessing services and other features of the database processing. But sometimes this process may achieve to split among various parties with recommended data items in analyzing of the data. Data security is one of the key processes in outsourcing data to various outside users. Traditionally Fast Distribution Mining algorithm was proposed for securing distributed data. This paper addresses a problem by secure association rules over partitioned data in both horizontal and vertical representation. A secure frequency developed algorithm is used for doing above process efficiently in partitioned data, which includes services of the data in outsourcing process. Frequent item sets are used to access services in outsourcing data in recent application development data mining. Our proposed work maintains efficient security over vertical and horizontal view of representation in secure mining applications. The result shows that algorithm timing is desirable for big size data for security considerations using association rule mining operations in real time application development.
关键词：Association Rules; Cryptography; Distributed Database; Distributed ; Computation; Privacy Preserving Data Mining