In data privacy, anonymization is the process of removing identifying information to prevent re-identification. Which choice best describes this concept?

Prepare for the NESTOR Session 91 Exam 1 with our comprehensive quiz featuring flashcards and multiple choice questions. Each question is designed with hints and explanations to help deepen your understanding. Ace your exam today!

Multiple Choice

In data privacy, anonymization is the process of removing identifying information to prevent re-identification. Which choice best describes this concept?

Explanation:
Anonymization means irreversibly removing or transforming personal identifiers so the data cannot be linked back to an individual, reducing the chance of re-identification even if the data is exposed. This often involves stripping direct identifiers (like names, IDs, contact details) and generalizing or removing quasi-identifiers that could still reveal someone when combined with other data. The described concept fits this goal exactly: stripping identifying information to prevent re-identification. Encrypting data hides its content but doesn’t remove the potential link to a person in the dataset once decrypted; storing data securely protects access rather than the identifiers themselves; replacing data with synthetic values is a masking or synthetic-data approach that may serve privacy goals but isn’t the standard definition of anonymization.

Anonymization means irreversibly removing or transforming personal identifiers so the data cannot be linked back to an individual, reducing the chance of re-identification even if the data is exposed. This often involves stripping direct identifiers (like names, IDs, contact details) and generalizing or removing quasi-identifiers that could still reveal someone when combined with other data. The described concept fits this goal exactly: stripping identifying information to prevent re-identification.

Encrypting data hides its content but doesn’t remove the potential link to a person in the dataset once decrypted; storing data securely protects access rather than the identifiers themselves; replacing data with synthetic values is a masking or synthetic-data approach that may serve privacy goals but isn’t the standard definition of anonymization.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy