Anonymization Tools Sample Clauses

Anonymization Tools. Data anonymization is a data management and de-identification procedure that conceals private data. Data anonymization is classified to anonymization and pseudo anonymization. Pseudo- anonymization provides the possibility to reconstruct the initial data unlike pure anonymization. Bellow we provide a short overview of the existing open source tools that can be used to this purpose. ARX44 is an open source software for anonymizing sensitive personal data. The tool transforms datasets into syntactic privacy models that mitigate attacks leading to privacy breaches. ARX removes direct identifiers such as names from datasets and adds further constraints on indirect identifiers, such as email addresses or phone numbers. The tools also provides built-in data import facilities for relational databases (MS SQL, DB2, SQLite, MySQL), MS Excel and CSV files. CX-Mask45 is a paid tool which removes the sensitive data hindering test, outsourcing, and analytics. The tool is using data masking, also referred to as data de-identification, pseudo anonymization, anonymization or obfuscation, which is a method of protecting sensitive data by replacing original data with fictitious but realistic data. The tool de-identifies sensitive data, and retains the realism and functionality of the original data set. The data categories this tools can work with include names, addresses, credit cards, SSN/SIN, phone, and more. NLM-Scrubber46 is a new, free clinical text de-identification tool. The software is currently in its initial beta stage. NLM-Scrubber is to be mainly used for de-identifying medical documents. The University of Nottingham has created an Open Source standalone windows desktop application called OpenPseudonymiser47. The application allows users to pseudonymise datasets by creating a digest of one or more columns of a CSV file. MAT48 is a toolbox composed of a GUI application, a CLI application and a library, to anonymize/remove metadata. The software is currently on beta stage and the development is on hold. The current version of MAT is not compatible with Python3. Oracle Data Masking and Subsetting Pack49 is a free tool which replaces sensitive information such as credit card or social security numbers with realistic values. It provides downloadable masking templates which simplify the task of defining masking rules. 44 ▇▇▇▇▇://▇▇▇.▇▇▇▇▇▇▇▇▇▇▇▇.▇▇▇/ 45 ▇▇▇▇▇://▇▇▇.▇▇▇▇▇▇▇.▇▇▇/data-security/data-security-101/data-masking/ 46 ▇▇▇▇▇://▇▇▇▇▇▇▇▇.▇▇▇.▇▇▇.▇▇▇/How_to_run_NLM...
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