+SI-19(06) Differential Privacy
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SI-19(06) Differential Privacy
Control
Prevent disclosure of personally identifiable information by adding non-deterministic noise to the results of mathematical operations before the results are reported.
Discussion
The mathematical definition for differential privacy holds that the result of a dataset analysis should be approximately the same before and after the addition or removal of a single data record (which is assumed to be the data from a single individual). In its most basic form, differential privacy applies only to online query systems. However, it can also be used to produce machine-learning statistical classifiers and synthetic data. Differential privacy comes at the cost of decreased accuracy of results, forcing organizations to quantify the trade-off between privacy protection and the overall accuracy, usefulness, and utility of the de-identified dataset. Non-deterministic noise can include adding small, random values to the results of mathematical operations in dataset analysis.
Assessment Objective
the disclosure of personally identifiable information is prevented by adding non-deterministic noise to the results of mathematical operations before the results are reported.
Assessment Method
Examine
System and information integrity policy
system and information integrity procedures
personally identifiable information processing policy
de-identification procedures
system configuration
de-identified datasets
differential privacy tools
system security plan
privacy plan
privacy impact assessment
privacy risk assessment documentation
other relevant documents or records
Interview
Organizational personnel responsible for de-identifying the dataset
organizational personnel with information security and privacy responsibilities
1. Vue d’ensemble
1.1 Références
1.2 Exigences identifiées
1.3 Réglementations associées
2. Exigences identifiées
Exigences
| Source |
Exigence |
3. Réglementations associées
Réglementations
| Source |
Réglementation |
Tickets liés
- NIST -
EN: Publications of the National Institute of Standards and Technology (NIST), U.S. Department of Commerce, https://www.nist.gov/, from their electronic versions (OSCAL; SP 800-63-4 from its HTML version, https://pages.nist.gov/800-63-4/). Works of NIST employees are not subject to copyright protection in the United States (17 U.S.C. § 105); the OSCAL content is dedicated to the public domain worldwide (CC0 1.0); outside the United States NIST grants the right to reprint its technical series publications in all formats (NIST copyright statement). Republished courtesy of the National Institute of Standards and Technology; each document names its citation. Divided into sections and converted into the GRCA format, the wording unchanged. Only the versions published by NIST are authoritative.
DE: Veröffentlichungen des National Institute of Standards and Technology (NIST), U.S. Department of Commerce, https://www.nist.gov/, aus ihren elektronischen Fassungen (OSCAL; SP 800-63-4 aus ihrer HTML-Fassung, https://pages.nist.gov/800-63-4/). Werke von NIST-Beschäftigten sind in den USA urheberrechtlich nicht geschützt (17 U.S.C. § 105); die OSCAL-Inhalte sind weltweit gemeinfrei gestellt (CC0 1.0); außerhalb der USA räumt das NIST das Recht ein, seine Technical-Series-Publikationen in allen Formaten neu zu veröffentlichen (Copyright-Hinweis des NIST). „Republished courtesy of the National Institute of Standards and Technology“; jedes Dokument nennt seine Zitierangabe. In Abschnitte aufgeteilt und in das GRCA-Format umgewandelt, der Wortlaut unverändert. Maßgeblich sind allein die vom NIST veröffentlichten Fassungen.
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