网络与信息安全学报 ›› 2016, Vol. 2 ›› Issue (1): 18-26.doi: 10.11959/j.issn.2096-109x.2016.00021

• 综述 • 上一篇    下一篇

面向数据发布和挖掘的隐私保护研究进展

王姣1,范科峰2,王勇3   

  1. 1 桂林电子科技大学电子工程与自动化学院,广西 桂林 541004
    2 中国电子技术标准化研究院,北京 100007
    3 桂林电子科技大学计算机科学与工程学院,广西 桂林 5410004
  • 修回日期:2016-01-08 出版日期:2016-01-01 发布日期:2016-02-16
  • 作者简介:王姣(1990-),女,河北石家庄人,桂林电子科技大学硕士生,主要研究方向为工业大数据的安全测评。|范科峰(1978-),男,陕西礼泉人,中国电子技术标准化研究院信息安全研究中心副主任、高级工程师,主要研究方向为信息技术、信息安全领域关键技术及标准化。|王勇(1964-),男,四川阆中人,博士,桂林电子科技大学教授,主要研究方向为信息安全。
  • 基金资助:
    国家自然科学基金资助项目(61172053)

Progress of research on privacy protection for data publication and data mining

Jiao WANG1,Ke-feng FAN2,Yong WANG3   

  1. 1 School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China
    2 China Electronics Standardization Institute, Beijing 100007, China
    3 School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China
  • Revised:2016-01-08 Online:2016-01-01 Published:2016-02-16
  • Supported by:
    The National Natural Science Foundation of China(61172053)

摘要:

摘要:随着计算机技术的迅速发展,数据越来越多,为了从这些大量数据中获取有用信息,需要对其进行挖掘,然而,在此过程中不免会造成数据相关者隐私的泄露,如何提高数据的安全性、保护有用信息不被外泄变得尤为重要。分析了在数据发布和挖掘过程中若干现有数据隐私保护技术的方法,简述了JTC1 制定的隐私保护相关国际标准,并根据其不同应用领域提出了未来可能的研究方向。为信息安全领域相关的人员提供了一定参考基础。

关键词: 隐私保护, 大数据, 数据挖掘, 标准

Abstract:

With the rapid development of the computer technology, there are more and more data in the society. In order to acquire knowledge from the large amounts of data, collecting and data mining is necessary. However, the privacy information will inevitably be disclosed during the process. So it is particularly important to improve the security of data and protect the useful data to avoid being disclosed. Several methods of data privacy preserving technology were analyzed when data was processed and briefly discussed the international standards which were made by JTC1 about privacy protection. According to its different application fields, the possible future research di-rections was proposed. Certain reference foundation could be provided for people who were in the field of informa-tion security.

Key words: privacy protection, big data, data mining, standard

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