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Cybersecurity – Privacy Enhancing Technologies
📦 Question 1: What are Privacy Enhancing Technologies (PETs)?
Answer:
Privacy Enhancing Technologies (PETs) are techniques used to protect sensitive information by hiding, transforming, or reducing the exposure of personal data while still allowing it to be used when needed.
📦 Question 2: What is deidentification?
Answer:
Deidentification is the process of removing or altering information that can identify an individual. This makes it much harder to trace the data back to a specific person, helping to protect privacy.
📦 Question 3: What is data obfuscation?
Answer:
Data obfuscation is the process of changing sensitive information into a form that cannot be easily understood or recovered. It protects confidential data from unauthorized access.
📦 Question 4: What is hashing?
Answer:
Hashing is a technique that uses a mathematical algorithm to convert original data into a fixed-length hash value. The resulting hash hides the original information and cannot normally be reversed.
📦 Question 5: What is tokenization?
Answer:
Tokenization replaces sensitive data with a randomly generated value called a token. The original data is stored separately in a secure lookup table, allowing authorized users to recover the original information when necessary.
📦 Question 6: Why must the token lookup table be protected?
Answer:
The lookup table links each token to its original value. If an attacker gains access to the table, they can reveal the sensitive information that the tokens were meant to protect.
📦 Question 7: What is data masking?
Answer:
Data masking hides sensitive information by replacing part or all of the original data with symbols or placeholder characters. For example, only the last four digits of a credit card number may be displayed while the rest are hidden.
📦 Question 8: Can hashing always protect sensitive data?
Answer:
No. Although hashing is designed to hide the original data, it may still be vulnerable if attackers already know the possible values that were hashed.
📦 Question 9: What is a rainbow table attack?
Answer:
A rainbow table attack is a method where an attacker generates hash values for a list of possible inputs and compares them with the hashed values in a database. If a match is found, the attacker can determine the original value.
📦 Question 10: Why should hashing be used carefully?
Answer:
Hashing should be used with caution because attackers may be able to guess the original data using techniques such as rainbow table attacks, especially when the possible input values are predictable.
📦 Question 1: What are Privacy Enhancing Technologies (PETs)?
Answer:
Privacy Enhancing Technologies (PETs) are techniques used to protect sensitive information by hiding, transforming, or reducing the exposure of personal data while still allowing it to be used when needed.
📦 Question 2: What is deidentification?
Answer:
Deidentification is the process of removing or altering information that can identify an individual. This makes it much harder to trace the data back to a specific person, helping to protect privacy.
📦 Question 3: What is data obfuscation?
Answer:
Data obfuscation is the process of changing sensitive information into a form that cannot be easily understood or recovered. It protects confidential data from unauthorized access.
📦 Question 4: What is hashing?
Answer:
Hashing is a technique that uses a mathematical algorithm to convert original data into a fixed-length hash value. The resulting hash hides the original information and cannot normally be reversed.
📦 Question 5: What is tokenization?
Answer:
Tokenization replaces sensitive data with a randomly generated value called a token. The original data is stored separately in a secure lookup table, allowing authorized users to recover the original information when necessary.
📦 Question 6: Why must the token lookup table be protected?
Answer:
The lookup table links each token to its original value. If an attacker gains access to the table, they can reveal the sensitive information that the tokens were meant to protect.
📦 Question 7: What is data masking?
Answer:
Data masking hides sensitive information by replacing part or all of the original data with symbols or placeholder characters. For example, only the last four digits of a credit card number may be displayed while the rest are hidden.
📦 Question 8: Can hashing always protect sensitive data?
Answer:
No. Although hashing is designed to hide the original data, it may still be vulnerable if attackers already know the possible values that were hashed.
📦 Question 9: What is a rainbow table attack?
Answer:
A rainbow table attack is a method where an attacker generates hash values for a list of possible inputs and compares them with the hashed values in a database. If a match is found, the attacker can determine the original value.
📦 Question 10: Why should hashing be used carefully?
Answer:
Hashing should be used with caution because attackers may be able to guess the original data using techniques such as rainbow table attacks, especially when the possible input values are predictable.
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