Definition Data Anonymization is termed as conversion of personally identifiable data into anonymized data by applying some anonymization techniques. Typically, Data Anonymization is an irreversible process meaning any kind of transformation on the anonymized data cannot bring back the original data. In an anonymized data the risk of re-identification of data after anonymization should be negligible. Factors deciding Anonymization techniques Anonymization techniques applied varies from data to data like streaming data and static data. Some of the factors that are taken into account while deciding on a technique are Nature and type of data Risk of re-identification of data Risk-Utility trade off Terminologies Some of the most common terminologies that one has to be aware of to understand Data anonymization are § Adversary – A party attempting to re-identify individual’s data from a dataset that is supposed to be anonymized. ...