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ARTICLE · 04 NOVEMBER 2021

Understanding The Process Of Data Anonymisation In The Context Of Data Privacy Laws

"Anonymised data can never be totally anonymous". A big concern of anonymisation of data, is its de-anonymisation, which is the process of using information from different data sets to re-create the anonymised data.

IndiaPrivacy

“Anonymised data can never be totally anonymous”1. A big concern of anonymisation of data, is its de-anonymisation, which is the process of using information from different data sets to re-create the anonymised data. For instance, A research team at the University of Texas at Austin, wanted to demonstrate how de-anonymisation could take place with very little information. As a result, with a background information available from IMDB, they successfully identified many records of Netflix users. This was consequently used to find out their sensitive information and political preferences.2

In India, ‘Anonymisation' is dealt with under the Personal Data Protection Bill, 2019. The consequences of personal data falling into the wrong hands or handled carelessly by data principals are catastrophic; which is why it is included in the framework of privacy jurisprudence.

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