Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis.
The article presents a data analysis platform which is designed to guarantee a screen of privacy between the data being analyzed and the analysis results. It is named Privacy Integrated Queries (PINQ), and gives access to records through a declarative language similar to SQL, working with C# code. P...
| Publicado en: | Communications of the ACM Vol. 53; no. 9; pp. 89 - 98 |
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| Formato: | Artículo |
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Association for Computing Machinery
Sep2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=53529236&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 53529236 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Sep2010 vid: 53 iid: 9 pid: 68 pub: Association for Computing Machinery artinfo: ui: 53529236 10.1145/1810891.1810916 ppf: 89 ppct: 9 formats: tig: atl: Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis. aug: au: McSherry, Frank affil: Microsoft Research, SVC, Mountain View, CA. su: Confidential records Data analysis Query languages (Computer science) Application software Privacy Information resources management sug: subj: Confidential records Data analysis Query languages (Computer science) Application software Privacy Information resources management ab: The article presents a data analysis platform which is designed to guarantee a screen of privacy between the data being analyzed and the analysis results. It is named Privacy Integrated Queries (PINQ), and gives access to records through a declarative language similar to SQL, working with C# code. PINQ is described as providing a formal and unconditional guarantee of differential privacy when implemented correctly, and its performance in this regard is not dependent on any privacy-related expertise on the part of the data analysts. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2010 holdings: @attributes: islocal: N |
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