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Data masking can also be referred as anonymization, or tokenization, depending on different context. The main reason to mask data is to protect information that is classified as personally identifiable information, or mission critical data. However, the data must remain usable for the purposes of undertaking valid test cycles.
The tokenization system must be secured and validated using security best practices [6] applicable to sensitive data protection, secure storage, audit, authentication and authorization. The tokenization system provides data processing applications with the authority and interfaces to request tokens, or detokenize back to sensitive data.
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets , so that the people whom the data describe remain anonymous .
A principal, though fundamentally theoretical, overview of terminology and principal anonymization technology is found in Pfitzmann & Hansen's terminology of anonymity. [7] In 1997, a report by Goldberg, Wagner and Brewer at the University of California, Berkeley summarized PETs. [8]
A new study involving aged rats suggests that exercise may influence the interactions between brain cells in the hippocampus, a brain region involved in learning and memory.
Eggs are a kitchen workhorse: They can be used as a binder or leavening agent while adding rich texture and flavor to many recipes. But what do you do if you’re cooking for someone who doesn’t ...
A fatal virus has been discovered in shrews in Alabama, sparking concerns about potential contagion to humans. The Camp Hill virus was discovered by researchers at The University of Queensland.
Methods for k-anonymization [ edit ] To use k -anonymity to process a dataset so that it can be released with privacy protection, a data scientist must first examine the dataset and decide whether each attribute (column) is an identifier (identifying), a non-identifier (not-identifying), or a quasi-identifier (somewhat identifying).