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The Research of Association Rules Mining Based on Privacy Preserving Techniques

Author: LengJiaZhao
Tutor: MaTingHuai
School: Nanjing University of Information Engineering
Course: Computer Applications
Keywords: Privacy Association rules Data Mining Data perturbation Homomorphic encryption
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 93
Quote: 0
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Abstract


In recent years, with the rise of the data storage capacity , data privacy protection issues more and more attention . Data mining tools to extract useful information from these massive data , at the same time will make a lot of privacy data was leaked as the entire mining process as a powerful knowledge discovery . With the rapid development of privacy preserving data mining in a few short years , various data mining techniques proposed privacy protection method , experimental data from the point of view , these algorithms are satisfactory , However , its applicability is still lacking , which makes privacy preserving data mining technology has a wide range of research prospects . This paper studies the method of privacy protection in a distributed environment , the association rule mining . The main work is as follows: First, data mining and association rule mining review, introduced the concept of privacy and the privacy classified , categorized and summarized the privacy protection methods of association rules . Privacy homomorphic encryption technology for the protection of the privacy of the source data in the distributed environment , on the basis of the research , the association rule mining . This improvement, the introduction of data perturbation means , so that the algorithm can participate in the presence of side work without disclosure of privacy in the malicious . Taking into account the illegal participation in the real-world applications , and provide a zero- knowledge proof authentication means , providing services for distributed applications . Third, the algorithm for hidden sensitive rules in-depth research , proposed a boundary theory of rule hiding algorithm . The purpose of the algorithm is to reduce as much as possible to hide the non-sensitive rules loss sensitive rules . Fourth, in association rules publishing stage summarizes the quantitative method , and several important algorithms . Fifth, take advantage of all of the research is to integrate the organic integration of these technologies together to design a comprehensive privacy of association rules mining platform .

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