Speeding up secure computations via embedded caching

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CRYPPAR: An efficient framework for privacy preserving association rule mining over vertically partitioned data

DH Tran, WK Ng, W Zha - TENCON 2009-2009 IEEE Region 10 …, 2009 - ieeexplore.ieee.org
Building a real system is one of the major challenges of privacy-preserving data mining
(PPDM). In this paper, we propose CRYPPAR, a novel, full-fledged framework for privacy …
Зберегти Послатися Цитовано в 9 джерелах Пов’язані статті

An efficient cacheable secure scalar product protocol for privacy-preserving data mining

DH Tran, WK Ng, HW Lim, HL Nguyen - Data Warehousing and …, 2011 - Springer
Computing scalar products amongst private vectors in a secure manner is a frequent
operation in privacy-preserving data mining algorithms, especially when data is vertically …
Зберегти Послатися Цитовано в 7 джерелах Пов’язані статті Кількість версій: 6
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Speeding up privacy preserving data mining techniques

HD Tran - 2016 - dr.ntu.edu.sg
Privacy-Preserving Data Mining (PPDM) allows one to discover hidden patterns from many
sources of databases while maintaining the privacy of data. Since its inception in two …
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