Position: GDPR Compliance by Construction
Position: GDPR Compliance by Construction
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职位:建筑业 GDPR 合规性
DOI:
10.1007/978-3-030-33752-0_3
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Schwarzkopf, M
Kohler
中科院分区:
文献类型:
--
作者:
Schwarzkopf, M
Kohler
New laws such as the European Union’s General Data Protection Regulation (GDPR) grant users unprecedented control over personal data stored and processed by businesses. Compliance can require expensive manual labor or retrofitting of existing systems,e.g., to handle data retrieval and removal requests. We argue for treating these new requirements as an opportunity for new system designs. These designs should make data ownership a first-class concern and achieve compliance with privacy legislation by construction. Acompliant-by-constructionsystem could build a shared database, with similar performance as current systems, from personal databases that let users contribute, audit, retrieve, and remove their personal data through easy-to-understand APIs. Realizing compliant-by-construction systems requires new cross-cutting abstractions that make data dependencies explicit and that augment classic data processing pipelines with ownership information.We suggest what such abstractions might look like, and highlight existing technologies that we believe make compliant-by-construction systems feasible today. We believe that progress towards such systems is at hand, and highlight challenges for researchers to address to make them a reality.
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DOI:
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发表时间:
2016
期刊:
影响因子:
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作者:
Tej Chajed;Jon Gjengset;M. Kaashoek;James W. Mickens;R. Morris;Nickolai Zeldovich
通讯作者:
Nickolai Zeldovich
DOI:
10.1145/3317550.3321425
发表时间:
2019
期刊:
HotOS '19: Proceedings of the Workshop on Hot Topics in Operating Systems
影响因子:
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作者:
Marzoev, Alana;Araújo, Lara Timbó;Schwarzkopf, Malte;Yagati, Samyukta;Kohler, Eddie;Morris, Robert;Kaashoek, M. Frans;Madden, Sam
通讯作者:
Madden, Sam
DOI:
10.1145/2043556.2043567
发表时间:
2011
期刊:
Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
影响因子:
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作者:
Ramesh Chandra;Taesoo Kim;Meelap Shah;Neha Narula;Nickolai Zeldovich
通讯作者:
Nickolai Zeldovich
DOI:
--
发表时间:
2019
期刊:
arXiv.org
影响因子:
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作者:
Supreeth Shastri;Melissa Wasserman;Vijay Chidambaram
通讯作者:
Vijay Chidambaram
DOI:
10.1145/2908080.2908098
发表时间:
2015
期刊:
Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation
影响因子:
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作者:
Jean Yang;Travis Hance;Thomas H. Austin;Armando Solar;C. Flanagan;Stephen Chong
通讯作者:
Stephen Chong