Security and the Claim to Privacy
Security and the Claim to Privacy
复制标题
安全和隐私声明
DOI：
10.1111/ips.12044
复制
发表时间：
2014
影响因子：
2.4
通讯作者：
Amoore L
中科院分区：
文献类型：
--
作者：
Amoore L
当美国总统奥巴马公开谈论国家安全局（NSA）的数据挖掘和分析活动时，他呼吁人们熟悉的安全和隐私的平衡力量。他说：“美国国家安全局的人除了确保我们能够防止恐怖袭击，我们能够提前获得信息，我们能够执行这一关键任务之外，没有兴趣做任何事情。”“其他人可能有不同的想法，”他建议，关于“我们可以得到的信息”和可能招致的“侵犯隐私”之间的平衡（奥巴马2013）。在许多方面，传统的安全计算是根据收集到的关于过去事件分布的信息来衡量未来威胁的概率和可能性。奥巴马对安全和隐私的权衡意识，与为了防止未来的威胁而收集过去事件数据的容忍度的计算意识一样。然而，事实上，他正在解决的国家安全局项目恰恰混淆了对可能威胁的权衡，以及遵守严格概率推理的安全和隐私惯例。当代出于安全目的对数据的挖掘和分析需要新形式的推理，这样即使是最不可能的元素也可以被纳入并采取行动。我在其他地方将这些可能的关联、链接和威胁的元素描述为“数据衍生物”（Amoore 2011），这些衍生物与潜在的价值脱钩，并且没有意义地属于一个可识别的主体。分析
When US President Barack Obama publicly addressed the data mining and analysis activities of the National Security Agency (NSA), he appealed to a familiar sense of the weighing of the countervailing forces of security and privacy.“The people at the NSA don’t have an interest in doing anything other than making sure that where we can prevent a terrorist attack, where we can get information ahead of time, we can carry out that critical task,” he stated.“Others may have different ideas,” he suggested, about the balance between “the information we can get” and the “encroachments on privacy” that might be incurred (Obama 2013). In many ways, conventional calculations of security weigh the probability and likelihood of a future threat on the basis of information gathered on a distribution of events in the past. Obama’s sense of a trading-off of security and privacy shares this sense of a calculation of the tolerance for the gathering of data on past events in order to prevent threats in the future. In fact, though, the very NSA programs he is addressing precisely confound the weighing of probable threat, and the conventions of security and privacy that adhere to strict probabilistic reasoning. The contemporary mining and analysis of data for security purposes invites novel forms of inferential reasoning such that even the least probable elements can be incorporated and acted upon. I have elsewhere described these elements of possible associations, links, and threats as “data derivatives”(Amoore 2011) that are decoupled from underlying values and do not meaningfully belong to an identifiable subject. The analysis
DOI：
--
发表时间：
1985
期刊：
影响因子：
--
作者：
R. Jakobson
通讯作者：
R. Jakobson
数据衍生品
DOI：
--
发表时间：
2011
期刊：
影响因子：
--
作者：
Louise Amoore
通讯作者：
Louise Amoore
DOI：
--
发表时间：
2012
期刊：
影响因子：
--
作者：
fdsys
通讯作者：
fdsys