Surveillance and identity: conceptual framework and formal models
Surveillance and identity: conceptual framework and formal models
复制标题
监视和身份:概念框架和形式模型
DOI:
10.1093/cybsec/tyx010
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发表时间:
2017
影响因子:
3.9
通讯作者:
Wang V
中科院分区:
文献类型:
--
作者:
Wang V
Surveillance is recognized as a social phenomenon that is commonplace, employed by governments, companies and communities for a wide variety of reasons. Surveillance is fundamental in cybersecurity as it provides tools for prevention and detection; it is also a source of controversies related to privacy and freedom. Building on general studies of surveillance, we identify and analyse certain concepts that are central to surveillance. To do this we employ formal methods based on elementary algebra. First, we show that disparate forms of surveillance have a common structure and can be unified by abstract mathematical concepts. The model shows that (i) finding identities and (ii) sorting identities into categories are fundamental in conceptualizing surveillance. Secondly, we develop a formal model that theorizes identity as abstract data that we callidentifiers. The model views identity through the computational lens of the theory of abstract data types. We examine the ways identifiers depend upon each other; and show that the provenance of identifiers depends upon translations between systems of identifiers.
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