Differential piracy

Differential piracy
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DOI:
10.1145/2317307.2317314
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发表时间:
2012
影响因子:
2.8
通讯作者:
Crowcroft J
Crowcroft J
中科院分区:
计算机科学4区
文献类型:
--
作者:
Crowcroft J

文献摘要

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DifferentialPrivacy是一种新的技术和工具集,用于管理对安全数据的统计查询的响应,以这种方式,用户无法在数据集中重建更精确的识别原则,超出正式指定的界限。这意味着研究人员可以在不侵犯个人隐私的情况下共享个人敏感数据,如互联网数据包跟踪或社交网络测量,并且可以保证准确性。我想谈一谈DifferentialPiracy,但并非没有目的。可以肯定的是,虽然正直的公民有合法的理由生活而不必担心永远的监视,但也有一部分社会人士在斗篷下逃脱了他们不应该做的事情。也许这就是我们在这个勇敢的新世界里为减少一点偏执所付出的(适度的)代价。这两种相关技术利用了统计安全方面的新思想。与其通过模糊来实现安全,不如通过缺乏区分来提供隐私(不,不是不能进行基本的计算,更多的是不能区分大量非常相似的东西)。
In all seriousness, DifferentialPrivacyis a new technique and set of tools for managing responses to statistical queries over secured data, in such a way that the user cannot reconstruct more precise identification of principles in the dataset beyond a formally well-specified bound. This means that personally sensitive data such as Internet packet traces or social network measurements can be shared between researchers without invading personal privacy, and that assurances can be made with accuracy.With less seriousness, I would like to talk about DifferentialPiracy, but not without purpose. For sure, while there are legitimate reasons for upstanding citizens to live without fear of eternal surveillance, there is also a segment of society that gets away with things they shouldn't, under a cloak. Perhaps that is the (modest) price we have to pay for a modicum less paranoia in this brave new world.So, there has been a lot of work recently on Piracy Preserving Queries and Differential Piracy. These two related technologies exploit new ideas in statistical security. Rather than security through obscurity, the idea is to offer privacy through lack of differentiation (no, not inability to perform basic calculus, more the inability to distinguish between large numbers of very similar things).