Data anonymization seeks to protect private or sensitive data by deleting or encrypting personally identifiable information from a database. Data anonymization is done for the purpose of protecting an individual’s or company’s private activities while maintaining the integrity of the data gathered and shared. Data anonymization is also known as ‘data obfuscation,’ ‘data masking,’ or ‘data de-identification.’ It can be contrasted with de-anonymization, which are techniques used in data mining that attempt to re-identify encrypted or obscured information
References
-
-
Learn the definition of Data Anonymization and get answers to FAQs regarding: Anonymized data vs de-identification, data anonymization techniques, best practices and more.🔗heavy.ai
-
Find out the top data anonymization techniques and best practices so you can choose the right capabilities and tools for your data needs.🔗Immuta
-
-
Learn about data anonymization benefits and its central role in helping companies protect sensitive data while maintaining its business value.🔗Informatica
-
Data anonymization seeks to protect private or sensitive data by deleting or encrypting personally identifiable information from a database.🔗Investopedia