具备隐私信息保护能力的学习器研究

蒋惯樟; 王士同

doi:10.11959/j.issn.2096-109x.2016.00062

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具备隐私信息保护能力的学习器研究

学术论文 | 更新时间：2024-06-03

- 具备隐私信息保护能力的学习器研究
- Research on privacy-preserving learning machines
- 网络与信息安全学报 2016年2卷第6期页码：22-31
- 作者机构：
- 作者简介：
  
  [ "蒋亦樟（1988-），男，江苏无锡人，博士，江南大学讲师，主要研究方向为软计算、计算智能与信息安全。" ]
  [ "王士同（1964-），男，江苏扬州人，江南大学教授、博士生导师，主要研究方向为人工智能和模式识别。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61300151);国家自然科学基金资助项目;The National Natural Science Foundation of China(61572236);江苏省自然科学基金资助项目;The Natural Science Foundation of Jiangsu Province(BK20130155);江苏省产学研前瞻性联合研究基金资助项目(BY2013015-02);中央高校基本科研业务费专项基金资助项目;The Fundamental Research Funds for the Central Universities(JUSRP51614A)
- DOI：10.11959/j.issn.2096-109x.2016.00062
  中图分类号： TP181
- 网络首发：2016-06，
  
  纸质出版：2016-06-15
- 稿件说明：
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蒋惯樟, 王士同. 具备隐私信息保护能力的学习器研究[J]. 网络与信息安全学报, 2016,2(6):22-31.

Yi-zhang JIANG, Shi-tong WANG. Research on privacy-preserving learning machines[J]. Chinese Journal of Network and Information Security, 2016, 2(6): 22-31.
蒋惯樟, 王士同. 具备隐私信息保护能力的学习器研究[J]. 网络与信息安全学报, 2016,2(6):22-31. DOI： 10.11959/j.issn.2096-109x.2016.00062.

Yi-zhang JIANG, Shi-tong WANG. Research on privacy-preserving learning machines[J]. Chinese Journal of Network and Information Security, 2016, 2(6): 22-31. DOI： 10.11959/j.issn.2096-109x.2016.00062.

摘要

随着数据挖掘技术在现实生活的日益发展，对信息数据的共享提出了更高的要求，隐私泄露问题变得日趋严重。设计具有隐私信息保护能力的学习器成为数据挖掘中的一个重要的问题。在已有研究成果的基础上，简要回顾了隐私保护学习器的发展现状，对隐私保护关键技术及学习器模型进行了分析概述，针对近年来国内外关于隐私保护学习器的研究成果进行了归纳总结。

Abstract

With the increasing development of data mining

more and more data mining methods need to be carried out on the privacy data

which leads to the serious problem of privacy disclosure.Therefore

Study of privacy-preserving learning machines is becoming a key data mining topic.Current privacy-preserving learning machines were surveyed and analyzed

including their basic ideas and their learning models.

关键词

Keywords

references

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