Privacy with Big Data: A Framework Completed Research

被引：0
作者：
Hoffman, David [1 ]
机构：
[1] Carleton Univ, Ottawa, ON, Canada
来源：
AMCIS 2018 PROCEEDINGS | 2018年
关键词：
Big data; privacy; framework; PERSONAL DATA; OPPORTUNITIES; CHALLENGES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Big data compromises the privacy of individuals and groups. There seems to be no defense but privacy is crucial for personal autonomy and the preservation of democracy. This paper develops the big data and privacy landscape through a literature review and the development of a high level framework. The framework is intended to assist in understanding how the facets of privacy and big data interact at a macro level.
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页数：10
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