Data anonymization is a data protection process focused on privacy protection. The role of data anonymization is to encrypt or remove personally identifiable information from data sets. In this manner, people from whom the data was collection remain remain anonymous.
Data anonymization is often used in the medical field, as well as in data-sensitive statistics analysis. If you need to render the data you’re working on anonymous, you can use one of the tools listed below.
Data anonymization software
ARX Data Anonymization Tool
ARX is an open source software for anonymizing sensitive personal data. The toolÂ transforms datasets intoÂ syntactic privacy models that mitigate attacks leading to privacy breaches.
ARX removesÂ direct identifiersÂ such as names from datasets and adds further constraints on indirect identifiers, such as email addresses or phone numbers.Â The tools alsoÂ provides built-in data import facilities for relational databases (MS SQL, DB2, SQLite, MySQL), MS Excel and CSV files.
You can download ARX Data AnonymizationÂ for free from the tool’s official website.
Data can also come in the form of images. If you need a tool to blurÂ images, we recommand Anonymizer. The software detects faces, car number plates and other image information in various scales and orientations and applies blurring filters to make the informationÂ unreadable.
The Anonymizer SDKÂ is a standalone C/C++ library for Windows and Linux. You can use it toÂ anonymizeÂ street-view photos, webcam photos, or any other photos for which privacy is a major concern.
You can downloadÂ Anonymizer from Eyedea and try it out for free.
CX-Mask removes the sensitive data hindering test, outsourcing, and analytics. 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.
For more information about this tool, check out the video below:
You can also try out CX-MaskÂ for free or ask Camouflage for a quote by visiting the company’s official website.
NLM-Scrubber is a new, free clinical text de-identification tool. The software is currently in its initial beta stage, but you can already try it out if you’re curious. The good news is that its developers will release a non-beta version of the tool.Â NLM-Scrubber is to be mainly used for de-identifying medical documents.
Here’s how to run NLM-Scrubber:
- Download NLM-Scrubber
- Create a configuration file using a text editor
- Open a command-line interface > change the current directory to where you downloaded or moved NLM-Scrubber
- Use the following command to run NLM-Scrubber: scrubber.exe.
For more information aboutÂ NLM-Scrubber, go to the tool’s official website.
We’ll end our list here. As you can see, the tools mentioned in this article can be used for the same purpose in various fields. They help you to de-identify sensitive data, whether it’s coded in images or letters.
Have you used other data anonymization software that we didn’t mention in this article? If so, tell us more about your experience in the comment section below.
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