Towards Semantically Secure Outsourcing of Association Rule Mining on Categorical Data

• Main Authors: LAI, Junzuo, LI, Yingjiu, DENG, Robert H., WENG, Jian, GUAN, Chaowen, YAN, Qiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Association rule mining; Outsourcing; Semantic security; Privacy; Soundness; Computer Sciences; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/2548; https://ink.library.smu.edu.sg/context/sis_research/article/3548/viewcontent/Semantically_secure_outsourcing_av.pdf
• Institution: Singapore Management University

When outsourcing association rule mining to cloud, it is critical for data owners to protect both sensitive raw data and valuable mining results from being snooped at cloud servers. Previous solutions addressing this concern add random noise to the raw data and/or encrypt the raw data with a substit...