Instructions
Choose the best answer for each question. For True/False items, decide whether the statement is accurate. After each question, the correct answer are provided so you can check your understanding.
Aggregated data is information combined from multiple individuals to show trends without exposing personal identities. Even though it seems safe, aggregated data can still be vulnerable to re‑identification attacks, data inference, and linkage attacks. Key protection strategies include:
- Anonymization — removing direct identifiers
- Differential privacy — adding statistical noise
- Access controls — limiting who can view aggregated outputs
- Data minimization — collecting only what is necessary
- Thresholding — hiding small group counts to prevent identity exposure
- These methods help ensure aggregated data remains useful while protecting individuals’ privacy.
