Re-identification can occur through several methods, including:
Data Linkage: Combining datasets from different sources to identify individuals. For example, linking health data from nanodevices with publicly available information. Pattern Recognition: Using machine learning algorithms to identify unique patterns in the data that can be traced back to an individual. Inference Attacks: Deriving sensitive information from seemingly non-sensitive data collected by nanodevices.
