保护隐私的协作数据挖掘的当代趋势——调查

A. Shah, R. Gulati
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引用次数: 6

摘要

近年来,竞争对手越来越关注维护客户信息隐私的问题。多方希望在不侵犯每一方隐私的情况下合作进行数据挖掘。公共和私人组织都会发布敏感的微观数据,用于研究和/或趋势分析。开发安全框架的主要问题是要考虑隐私、效率和协作各方之间的复杂性,以生成标准化。本文综述了用于保护隐私的协作数据挖掘的各种技术,并总结了它们的缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contemporary trends in privacy preserving collaborative data mining- A survey
Growing concerns amongst the competitors for maintaining the privacy of their customer's information has increased in recent years. Multiple parties desire to collaborate to conduct data mining without breaching privacy of each contributing party. Organizations, both public and private, publish sensitive micro data for research and/or trend analysis. The main confront for developing a secured framework is a consideration for privacy as well as efficiency and complications amongst the collaborating parties for generating standardization. The paper surveys various techniques applied for Privacy Preserving Collaborative Data Mining and summarizes the demerits of the same.
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