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Questions and Answers
What is the primary objective of data anonymization?
What is the primary objective of data anonymization?
- To protect individual privacy while retaining data usefulness (correct)
- To make data more specific and identifiable
- To completely delete all personal data
- To assess the risk of re-identification
Which anonymization technique is considered the strongest type?
Which anonymization technique is considered the strongest type?
- Data Obfuscation
- Attribute Suppression (correct)
- Character Masking
- Data Encryption
What is the purpose of character masking in data anonymization?
What is the purpose of character masking in data anonymization?
- To delete entire attributes
- To hide part of a string of characters to provide anonymity (correct)
- To replace entire data values with symbols
- To assess the risk of re-identification
What is the characteristic of anonymized data?
What is the characteristic of anonymized data?
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What is the number of anonymization techniques mentioned in the text?
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?
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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