Privacy-preserving mining of association rule on outsourced cloud data from multiple parties

• Main Authors: LIU, Lin, SU, Jinshu, CHEN, Rongmao, LIU, Ximeng, WANG, Xiaofeng, CHEN, Shuhui, LEUNG, Ho-fung Fung
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Association rule mining; Cloud computing; Frequent itemset mining; Privacy preserving outsourcing; Data Storage Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/4086; https://ink.library.smu.edu.sg/context/sis_research/article/5089/viewcontent/Liu2018_Chapter_Privacy_PreservingMiningOfAsso.pdf
• Institution: Singapore Management University

It has been widely recognized as a challenge to carry out data analysis and meanwhile preserve its privacy in the cloud. In this work, we mainly focus on a well-known data analysis approach namely association rule mining. We found that the data privacy in this mining approach have not been well cons...