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Context, Causality, and Information Flow: Implications for Privacy Engineering, Security, and Data Economics
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Context, Causality, and Information Flow: Implications for Privacy Engineering, Security, and Data Economics. |
| 개인저자 | Benthall, Sebastian P. |
| 단체저자명 | University of California, Berkeley. Information Management & Systems. |
| 발행사항 | [S.l.]: University of California, Berkeley., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 154 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01A(E). Dissertation Abstract International |
| ISBN | 9780438324374 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Berkeley, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
Advisers: John Chuang |
| 요약 | The creators of technical infrastructure are under social and legal pressure to comply with expectations that can be difficult to translate into computational and business logics. This dissertation bridges this gap through three projects that fo |
| 요약 | The first project studies privacy engineering's use of Contextual Integrity theory (CI), which defines privacy as appropriate information flow according to norms specific to social contexts or spheres. Computer scientists using CI have innovated |
| 요약 | This concern inspires the second project, which addresses the problem of building computational systems that comply with data flow and security restrictions such as those required by law. Many privacy and data protection policies stipulate restr |
| 요약 | The third project uses the causal modeling of information flow to address gaps in current theory of data economics. Like CI, privacy economics has focused on individual economic contexts and so has been unable to comprehend an information econom |
| 일반주제명 | Information science. Computer science. Economics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
