Consider the following dataset representing longitudinal health records of patients over 5 years:
| Patient ID | Age group | Disease | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
| P001 | 30-40 | diabetes | 140 | 145 | 150 | 155 | 160 |
| P002 | 40-50 | hypertension | 130 | 135 | 140 | 145 | 150 |
| P003 | 30-40 | diabetes | 135 | 140 | 145 | 150 | 155 |
| P004 | 50-60 | heart disease | 125 | 130 | 135 | 140 | 145 |
To apply k-anonymity, which of the following modifications would be most effective?
An IoT-based smart home system records appliance usage patterns over time. To anonymize this data while preserving usability, what should be done?
Which privacy model is used to protect against background knowledge attacks in complex data structures?
Jeżeli okres drgań wahadła wynosi 2 s, to częstotliwość drgań tego wahadła wynosi
Wahadło wykonało w czasie 45 sekund 90 drgań. Okres drgań tego wahadła wynosi
Which privacy-preserving technique in transaction data allows for the replacement of sensitive data elements with pseudonyms, making them unidentifiable?
A fitness tracking company wants to anonymize users’ step count data recorded every minute. Attackers could re-identify users based on unique activity patterns. What is the best privacy-preserving technique?
A hospital maintains a network of patients and doctors where edges represent consultations. To share this dataset for medical research while preserving patient privacy, which method would be most effective?
An attacker uses publicly available information to match anonymized patient records and infer a person’s illness. This is an example of:
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