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  2. Pseudonymization - Wikipedia

    en.wikipedia.org/wiki/Pseudonymization

    An example of application of pseudonymization procedure is creation of datasets for de-identification research by replacing identifying words with words from the same category (e.g. replacing a name with a random name from the names dictionary), [11] [12] [13] however, in this case it is in general not possible to track data back to its origins.

  3. Data re-identification - Wikipedia

    en.wikipedia.org/wiki/Data_re-identification

    Such data has proved to be very valuable for researchers, particularly in health care. GDPR-compliant pseudonymization seeks to reduce the risk of re-identification through the use of separately kept "additional information". The approach is based on an expert evaluation of a dataset to designate some identifiers as "direct" and some as "indirect."

  4. De-identification - Wikipedia

    en.wikipedia.org/wiki/De-identification

    Anonymization refers to irreversibly severing a data set from the identity of the data contributor in a study to prevent any future re-identification, even by the study organizers under any condition. [10] [11] De-identification may also include preserving identifying information which can only be re-linked by a trusted party in certain situations.

  5. k-anonymity - Wikipedia

    en.wikipedia.org/wiki/K-anonymity

    k-anonymity is an attempt to solve the problem "Given person-specific field-structured data, produce a release of the data with scientific guarantees that the individuals who are the subjects of the data cannot be re-identified while the data remain practically useful."

  6. Privacy-enhancing technologies - Wikipedia

    en.wikipedia.org/wiki/Privacy-enhancing_technologies

    Pseudonymization is a data management technique that replaces an individual's identity or personal information with an artificial identifiers known as Pseudonyms. This de-identification method enables contents and fields of information to be covered up so as to deter attacks and hackers from obtaining important information.

  7. When should I expect my IRS tax refund? Here's how long it ...

    www.aol.com/expect-tax-refund-heres-long...

    Many Americans are counting on their tax refunds to help make ends meet. Here's when you can expect yours.

  8. Non-personal data - Wikipedia

    en.wikipedia.org/wiki/Non-personal_data

    Non-Personal Data (NPD) is electronic data that does not contain any information that can be used to identify a natural person.Thus, it can either be data that has no personal information to begin with (such as weather data, stock prices, data from anonymous IoT sensors); or it is data that had personal data that was subsequently pseudoanonymized (for example, identifiable strings substituted ...

  9. UPS scales back on Amazon deliveries: It 'just doesn't make ...

    www.aol.com/finance/ups-scales-back-amazon...

    UPS's announcement that it will cut back on deliveries for its largest customer, Amazon (), sent its stock tumbling as much as 15% on Thursday.But the company says it made the change with the goal ...