Sebastian Benthall, Seda F. Gürses, H. Nissenbaum
{"title":"Contextual Integrity through the Lens of Computer Science","authors":"Sebastian Benthall, Seda F. Gürses, H. Nissenbaum","doi":"10.1561/3300000016","DOIUrl":null,"url":null,"abstract":"The theory of Privacy as Contextual Integrity (CI) defines privacy as appropriate information flow according to norms specific to social contexts or spheres. CI has had uptake in different subfields of computer science research. Computer scientists using CI have innovated as they have implemented the theory and blended it with other traditions, such as context-aware computing. This survey examines computer science literature using Contextual Integrity and discovers: (1) the way CI is used depends on the technical architecture of the system being designed, (2) ‘context’ is interpreted variously in this literature, only sometimes consistently with CI, (3) computer scientists do not engage in the normative aspects of CI, instead drawing from their own disciplines to motivate their work, and (4) this work reveals many areas where CI can sharpen or expand to be more actionable to computer scientists. We identify many theoretical gaps in CI exposed by this research and invite computer scientists to continue exploring the horizons of CI. S. Benthall, S. Gürses and H. Nissenbaum. Contextual Integrity through the Lens of Computer Science. Foundations and Trends © in Privacy and Security, vol. 2, no. 1, pp. 1–69, 2017. DOI: 10.1561/3300000016.","PeriodicalId":427727,"journal":{"name":"Found. Trends Priv. Secur.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Found. Trends Priv. Secur.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1561/3300000016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35
从计算机科学的角度看上下文完整性
隐私作为情境完整性(CI)理论将隐私定义为根据特定社会情境或领域规范的适当信息流。CI在计算机科学研究的不同分支领域都有应用。使用CI的计算机科学家在实现该理论并将其与其他传统(如上下文感知计算)混合的过程中进行了创新。本调查使用上下文完整性检查计算机科学文献,并发现:(1)使用CI的方式取决于正在设计的系统的技术架构,(2)在本文献中对“上下文”的解释各不相同,只是有时与CI一致,(3)计算机科学家不参与CI的规范方面,而是从他们自己的学科中汲取灵感来激励他们的工作,(4)这项工作揭示了CI可以增强或扩展到计算机科学家更可操作的许多领域。我们确定了本研究暴露的CI中的许多理论空白,并邀请计算机科学家继续探索CI的视野。S. Benthall, S. g rses和H. Nissenbaum。从计算机科学的角度看上下文完整性。基础和趋势©在隐私和安全,第2卷,第2期。1, pp. 1 - 69, 2017。DOI: 10.1561 / 3300000016。
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