As the quantity and complexity of data keeps increasing, individuals need to be aware of the level of privacy and data protection recognized to their data. The number of techniques to violate data protection tools and exploit data has increased exponentially, spinning the development of de-anonymization attacks, and increasing the vulnerability of information systems handling microdata. For this reason, implementing appropriate data minimization techniques and disclosure practices is essential, implying - as a first step - understanding the legal context and the terminology of the main data protection tools of privacy by design provided by the General Data Protection Regulation, as anonymization and pseudonymization.
Podda, E. (2021). Data Processing in Context: an Uncertain Regulation for a Big Data Society.
Data Processing in Context: an Uncertain Regulation for a Big Data Society
Podda, Emanuela
2021
Abstract
As the quantity and complexity of data keeps increasing, individuals need to be aware of the level of privacy and data protection recognized to their data. The number of techniques to violate data protection tools and exploit data has increased exponentially, spinning the development of de-anonymization attacks, and increasing the vulnerability of information systems handling microdata. For this reason, implementing appropriate data minimization techniques and disclosure practices is essential, implying - as a first step - understanding the legal context and the terminology of the main data protection tools of privacy by design provided by the General Data Protection Regulation, as anonymization and pseudonymization.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.