面向数据库应用的隐私保护研究综述

Privacy Preservation in Database Applications:A Survey

随着数据挖掘和数据发布等数据库应用的出现与发展,如何保护隐私数据和防止敏感信息泄露成为当前面临的重大挑战.隐私保护技术需要在保护数据隐私的同时不影响数据应用.根据采用技术的不同,出现了数据失真、数据加密、限制发布等隐私保护技术.文中对隐私保护领域已有研究成果进行了总结,对各类隐私保护技术的基本原理、特点进行了阐述,还详细介绍了各类技术的典型应用,并重点介绍了当前该领域的研究热点:基于数据匿名化的隐私保护技术.在对已有技术深入对比分析的基础上,指出了隐私保护技术的未来发展方向.

As the emergence and development of database applications such as data publishing and data mining, a challenge to the database community is to preserve data privacy and prevent sensitive information from disclosure. Privacy-preserving techniques should be conducive to the applications while preserving data privacy. Based on different principles, various privacy-preserving techniques are developed, such as distortion, encryption and limited distribution. This paper surveys the state of the art of privacy preservation techniques for database applications. The mechanisms and characteristics of various techniques are described, while focus is put on data anonymization, which is a hot topic in the field. Following a comprehensive comparison and analysis of existing techniques, future research directions are highlighted.