摘要
大数据的分析挖掘技术实现了散乱数据的潜在价值,也让人们的个人隐私面临威胁。大数据背景下的个人隐私分散隐匿于海量数据中,各数据间相互关联。数据化的个人隐私具有商业价值,促进了个人数据的挖掘。数据主体隐私保护意识欠缺,除了被动的隐私泄露,还有"数据化表演"的自我隐私披露。大数据背景下,个人隐私保护首先要明确立法,划分权责,加强对大数据产业运营的监管;其次,建立信息生态系统,模拟自然界的规律,为大数据的有序开发共享制定法则;同时还要提高用户对个人数据自我披露后果的预见性,有意识地防范个人隐私泄露。
The analysis and mining technology of big data has realized the potential value of scattered data,and also made people's personal privacy face threats.In the background of big data,personal privacy is scattered and hidden in massive data and the data are interrelated.The commercial value of personal privacy data promotes the mining of personal data.Due to the lack of privacy protection awareness of data bodies,in addition to passive privacy leakage,there is also self-disclosure of privacy brought by"data performance".Under the background of big data,personal privacy protection should strengthen legislation first,clear division of powers and responsibilities,and strengthen big data industry operation regulation.Secondly,we should establish information ecosystem,simulate the laws of nature,and make rules for the orderly development and sharing of big data.At the same time,we also should improve the predictability of the consequences of self-disclosure of personal data,and consciously prevent leakage of personal privacy.
作者
贾利锋
Jia Lifeng(Library of Henan Normal University, Xinxiang Henan 453007)
出处
《创新科技》
2017年第12期80-84,共5页
Innovation science and technology
基金
河南省教育厅科学技术研究重点项目"高校公务电子邮件管理与归档问题研究"(13A870539)
河南省社科调研课题"‘互联网+’背景下图书馆阅读服务供给方式研究"(SKL-2017-889)
关键词
大数据
数据挖掘
隐私保护
自我披露
big data
data mining
privacy protection
self-disclosure