Privacy-preserving data mining via secure multiparty computation

• 主要作者: Han, Shu Guo
• 其他作者: Ng Wee Keong
• 格式: Theses and Dissertations
• 語言: English
• 出版: 2010
• 主題: DRNTU::Engineering::Computer science and engineering::Information systems::Database management
• 在線閱讀: https://hdl.handle.net/10356/41834
• 機構: Nanyang Technological University

Conventional data mining algorithms handle with the data sets that are usually maintained in one central server. If data sets are distributed among multiple parties, one trusted server collects the data sets first before performing data mining tasks. Distributed data mining (DDM) [27, 28, 103] was p...