Research on Privacy Preserving Data Mining

• 作者: Pingshui Wang Tao Chen Zecheng Wang
• 来源期刊: 信息隐藏与隐私保护杂志(英文)
• 学科: 工学
• 关键词: PRIVACY PRESERVING data mining RANDOMIZATION ANONYMIZATION secure MULTIPARTY COMPUTATION
• 年，卷（期）: 2019,（2）
• 页码范围: 61-68
• 页数: 8页
• 分类号: TP3

摘要

In recent years,with the explosive development in Internet,data storage and data processing technologies,privacy preservation has been one of the greater concerns in data mining.A number of methods and techniques have been developed for privacy preserving data mining.This paper provided a wide survey of different privacy preserving data mining algorithms and analyzed the representative techniques for privacy preservation.The existing problems and directions for future research are also discussed.