在大数据分析时代,我们如何保护隐私?

C. Landwehr
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引用次数: 0

摘要

尽管有些人似乎认为隐私已经死了,但正如Bruce Schneier在最近一次关于监控的会议上所说的那样,我们都还穿着衣服[1]。然而,大数据和大数据分析让我们中的一些人感到比以前更加赤裸裸。今天的演讲将提供一些关于隐私的个人观察,然后概述一些需要取得进展的研究领域,使社会能够在不放弃不必要的隐私的情况下获得分析大数据集的好处。自20世纪70年代早期以来,计算机先驱威利斯·韦尔(Willis Ware)担任委员会主席,制定了最初的《公平信息实践原则》[2],隐私问题从未如此受到美国公众的关注。斯诺登的爆料,以及越来越多的人意识到,仅仅是我们的生活似乎就会产生越来越多的“数字废气”。引发了许多研讨会和会议。一个联邦跨部门小组正在准备一项关于隐私研究的国家战略。快速分析大型数据集并从中提取商业上有用的见解的能力正在催生新的行业。这种产业增长必须以大量侵犯隐私为代价吗?
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Can We Enable Privacy in an Age of Big Data Analytics?
Even though some seem to think privacy is dead, we are all still wearing clothes, as Bruce Schneier observed at a recent conference on surveillance[1]. Yet big data and big data analytics are leaving some of us feeling a bit more naked than before. This talk will provide some personal observations on privacy today and then outline some research areas where progress is needed to enable society to gain the benefits of analyzing large datasets without giving up more privacy than necessary. Not since the early 1970s, when computing pioneer Willis Ware chaired the committee that produced the initial Fair Information Practice Principles [2] has privacy been so much in the U.S. public eye. Snowden's revelations, as well as a growing awareness that merely living our lives seems to generate an expanding "digital exhaust." Have triggered many workshops and meetings. A national strategy for privacy research is in preparation by a Federal interagency group. The ability to analyze large datasets rapidly and to extract commercially useful insights from them is spawning new industries. Must this industrial growth come at the cost of substantial privacy intrusions?
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