Research on Data Mining Method Based on Privacy Protection

Hong-hua Gan
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引用次数: 1

Abstract

Indecent years, The massive growth of data in various fields not only promotes the development of data mining algorithm, But also brings the threat of privacy disclosure to the storage and mining of user data. In the process of data mining, protecting users' privacy, designing data mining methods that support privacy protection has become an important research field. Focusing on the hidden dangers of privacy disclosure in data mining methods, This paper mainly introduces the latest research progress of three privacy protection technologies, namely data distortion technology, data encryption technology and restricted publishing technology, and summarizes the research trend of data mining methods supporting privacy protection in the field of image processing and natural language processing.
基于隐私保护的数据挖掘方法研究
不雅年代,各领域数据的海量增长不仅推动了数据挖掘算法的发展,也给用户数据的存储和挖掘带来了隐私泄露的威胁。在数据挖掘过程中,保护用户隐私,设计支持隐私保护的数据挖掘方法已成为一个重要的研究领域。针对数据挖掘方法中隐私泄露的隐患,本文主要介绍了数据失真技术、数据加密技术和限制发布技术这三种隐私保护技术的最新研究进展,并总结了图像处理和自然语言处理领域支持隐私保护的数据挖掘方法的研究趋势。
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