Towards Semantically Secure Outsourcing of Association Rule Mining on Categorical Data

Towards Semantically Secure Outsourcing of Association Rule Mining on Categorical Data

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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