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Data anonymization - Wikipedia
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 .
Data Anonymization Explained: What You Need to Know | Splunk
Data anonymization is the process of removing particular pieces of private information that could be used to identify a person in data. The idea behind data anonymization is that by eliminating personally identifiable information (PII), companies are able to protect customer privacy while still making use of the data.
Anonymity - Wikipedia
Anonymity [a] describes situations where the acting person's identity is unknown. Some writers have argued that namelessness, though technically correct, does not capture what is more centrally at stake in contexts of anonymity. The important idea here is that a person be non-identifiable, unreachable, or untrackable. [1] .
What is Data Anonymization | Pros, Cons & Common Techniques | Imperva
Data anonymization is the process of protecting private or sensitive information by erasing or encrypting identifiers that connect an individual to stored data. For example, you can run Personally Identifiable Information (PII) such as names, social security numbers, and addresses through a data anonymization process that retains the data but ...
Anonymize Definition & Meaning - Merriam-Webster
transitive verb. : to remove identifying information from (something, such as computer data) so that the original source cannot be known : to make (something) anonymous. There's an incredible amount of data in your travel profile. So they improved security and created a sophisticated way to anonymize data. Dana Hawkins. anonymization noun.
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