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Data masking or data obfuscation is the process of modifying sensitive data in such a way that it is of no or little value to unauthorized intruders while still being usable by software or authorized personnel. Data masking can also be referred as anonymization, or tokenization, depending on different context.
De-anonymization is the reverse process in which anonymous data is cross-referenced with other data sources to re-identify the anonymous data source. [3] Generalization and perturbation are the two popular anonymization approaches for relational data. [ 4 ]
When applied to metadata or general data about identification, the process is also known as data anonymization. Common strategies include deleting or masking personal identifiers , such as personal name , and suppressing or generalizing quasi-identifiers , such as date of birth.
Location data - series of geographical positions in time that describe a person's whereabouts and movements - is a class of personal data that is specifically hard to keep anonymous. Location shows recurring visits to frequently attended places of everyday life such as home, workplace, shopping, healthcare or specific spare-time patterns. [ 14 ]
Invoice processing : involves the handling of incoming invoices from arrival to payment. Invoices have many variations and types. In general, invoices are grouped into two types: Invoices associated with a company's internal request or purchase order (PO-based invoices) and; Invoices that do not have an associated request (non-PO invoices).
Technologies like pseudonymization that enforce Data Protection by Design and by Default show individual data subjects that in addition to coming up with new ways to derive value from data, organizations are pursuing equally innovative technical approaches to protecting data privacy—an especially sensitive and topical issue given the epidemic ...
Software-based security solutions encrypt the data to protect it from theft. However, a malicious program or a hacker could corrupt the data to make it unrecoverable, making the system unusable. Hardware-based security solutions prevent read and write access to data, which provides very strong protection against tampering and unauthorized access.
Pages in category "Data anonymization techniques" The following 6 pages are in this category, out of 6 total. This list may not reflect recent changes. A.