Questions and Answers
What is the primary objective of data anonymization?
To protect individual privacy while retaining data usefulness
Which anonymization technique is considered the strongest type?
Attribute Suppression
What is the purpose of character masking in data anonymization?
To hide part of a string of characters to provide anonymity
What is the characteristic of anonymized data?
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What is the number of anonymization techniques mentioned in the text?
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What is the purpose of assessing the risk of re-identification in anonymization?
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Study Notes
Data Anonymization
- Data Anonymization is the process of converting personal data into anonymized data using various anonymization techniques.
Characteristics of Anonymized Data
- Anonymized data is data that has undergone transformation through anonymization techniques.
- It should be irreversible and non-reversible.
- The goal is to modify data to protect individual privacy while retaining its usefulness.
Anonymization Techniques
Attribute Suppression
- It involves completely deleting entire columns in a dataset.
- This is the strongest type of anonymization technique.
- Used when an attribute is no longer required in the anonymized dataset.
Character Masking
- It involves changing characters of a data value using symbols like "*", "x", or "#".
- Typically used on strings of characters.
- Hides part of the data to provide anonymity, suitable for credit card numbers or postal codes (e.g., xxxx-xxxx-xxxx-4913).
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