Overview#Data anonymization or Pseudonymization is a type of privacy Enhancing Technologies
There can be a single pseudonym for a collection of replaced fields or a pseudonym per replaced field. The purpose is to render the data record less identifying and therefore lower End-User or patient objections to its use.
The Privacy Technology Focus Group defines Data anonymization as "technology that converts clear text data into a non-person entity readable and irreversible form, hashing and encryption techniques in which the decryption key has been discarded."
Data anonymization enables the Data In Transit across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended Disclosure, and in certain environments in a manner that enables evaluation and analytics post-anonymization.context of medical data, anonymized data refers to Patient Data from which the patient cannot be identified by the recipient of the information. HIPAA is very specific on what data MUST be removed together with any other information which, in conjunction with other data held by or disclosed to the recipient, could provide Identification the patient.
Generalization and perturbation are the two popular anonymization approaches for relational data.
vulnerability of Data anonymization#Data anonymization ability to maintain anonymity within Data anonymization data sets is questionable. Several reports indicate that a small amount of externally associated data may provide De-anonymization
More Information#There might be more information for this subject on one of the following:
- [#1] - Data_anonymization - based on information obtained 2016-07-06
- [#2] - No silver bullet: De-identification still doesn’t work - based on information obtained 2016-08-14
- [#3] - SCIENTISTS EXPOSE NEW VULNERABILITIES IN THE SECURITY OF PERSONAL GENETIC INFORMATION - based on information obtained 2016-08-14