Data Analysis Systems in IoE Environments for Managing Privacy and Data Protection: Pseudonymity, De-Anonymization and the Right to Be Forgotten
1Merugu Anand Kumar, Dr. S. Gowri · Cuestiones de Fisioterapia · 2025
One of the most pressing concerns surrounding Big Data is protecting individuals' privacy, asprocessing massive amounts of data might lead to the exposure of private information. Actually,re-identification via privacy attacks is still possible, even with anonymised data. In order toprotect large data analytics systems from re-identification risks, this article lays forth amethodology for anonymization. You may employ anonymization methods and models at twophases of this framework, which is based on anonymization policies: during the ETL process andbefore exporting the statistical findings of data analytics. The second step is to assess thelikelihood of data re-identification and, if needed, raise the anonymity level. Although this paperpresents a general framework, Ophidia was used as a case study to demonstrate how it wasimplemented.