Table 1 De-identification threats of structured data and unstructured data
From: Design of a human-centric de-identification framework for utilizing various clinical research data
Type | 1. Classification | 2. Processing of DID | 3. Processing of QID | 4. Processing of SA (optional) |
|---|---|---|---|---|
Structured data | ||||
 Methods | Manual (human) Heuristic Artificial Intelligence | Generalization, Randomization, Elimination | ||
 Threats | Mis-classification | Misprocess, Single out, Likability, Inference | Homogeneity attack, Background knowledge attack | Similarity attack, Skewness attack |
Unstructured data | ||||
 Methods | Manual (human) Heuristic Artificial Intelligent | Cryptography, Replacement, Elimination | ||
 Threats | Mis-classification | Misprocess, Single out, Likability, Inference | ||