+SI-19 [P] De-identification

SI-19 [P] De-identification

Control

  1. Remove the following elements of personally identifiable information from datasets: [Assignement: elements] ; and
  2. Evaluate [Assignement: frequency] for effectiveness of de-identification.

Discussion

De-identification is the general term for the process of removing the association between a set of identifying data and the data subject. Many datasets contain information about individuals that can be used to distinguish or trace an individual’s identity, such as name, social security number, date and place of birth, mother’s maiden name, or biometric records. Datasets may also contain other information that is linked or linkable to an individual, such as medical, educational, financial, and employment information. Personally identifiable information is removed from datasets by trained individuals when such information is not (or no longer) necessary to satisfy the requirements envisioned for the data. For example, if the dataset is only used to produce aggregate statistics, the identifiers that are not needed for producing those statistics are removed. Removing identifiers improves privacy protection since information that is removed cannot be inadvertently disclosed or improperly used. Organizations may be subject to specific de-identification definitions or methods under applicable laws, regulations, or policies. Re-identification is a residual risk with de-identified data. Re-identification attacks can vary, including combining new datasets or other improvements in data analytics. Maintaining awareness of potential attacks and evaluating for the effectiveness of the de-identification over time support the management of this residual risk.

Assessment Objective

  1. [Assignement: elements] are removed from datasets;
  2. the effectiveness of de-identification is evaluated [Assignement: frequency].

Assessment Method

Examine

System and information integrity policy system and information integrity procedures personally identifiable information processing policy de-identification procedures system configuration datasets with personally identifiable information removed system security plan privacy plan privacy impact assessment privacy risk assessment documentation other relevant documents or records

Interview

Organizational personnel responsible for identifying unnecessary identifiers organizational personnel responsible for removing personally identifiable information from datasets organizational personnel with information security and privacy responsibilities

1. Forbhreathnú

1.1 Tagairtí

1.2 Ceanglais aitheanta

1.3 Rialacháin ghaolmhara

2. Ceanglais aitheanta

Ceanglais

3. Rialacháin ghaolmhara

Rialacháin

Saincheisteanna nasctha

Naisc
is blocked by SI-19 [P] De-identification – Assessment Procedure
is blocked by De-Identification (Anonymization)
  • 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.

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