SelekTOR

SelekTOR

SelekTOR is an open-source data anonymization tool that helps protect personal data by masking or altering sensitive fields in datasets. It supports various data formats and has features like configurable anonymization rules and bulk processing of multiple files.
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anonymization data-masking gdpr privacy

SelekTOR: Open-Source Data Anonymization Tool

Protect personal data by masking or altering sensitive fields in datasets with SelekTOR, an open-source tool supporting various data formats and configurable anonymization rules.

What is SelekTOR?

SelekTOR is an open source Windows application for anonymizing personal data in datasets to facilitate sharing data while protecting privacy. It allows users to configure rules that define how different data types like names, email addresses, social security numbers etc. should be masked or transformed to remove identifying information.

Key features of SelekTOR include:

  • Supports processing CSV, plaintext, XML, JSON, Excel and database files
  • Masks text fields using techniques like hashing, shuffling, substitution, etc.
  • Handles dates, numbers and unstructured text
  • Anonymizes entire directories or drives for bulk processing
  • Provides pre-defined rulesets for locations, professions, names etc.
  • Allows custom JavaScript-based rules to be added
  • Preserves data formats, types and basic statistics after anonymization
  • Free and open source software written in C#

SelekTOR helps researchers, government agencies, healthcare providers and other organizations share useful data with external parties in a GDPR and HIPAA compliant manner by irrevocably de-identifying personal information. The wide range of data formats supported, customizable rules and bulk processing capabilities make it useful for anonymizing large, complex datasets prior to sharing or publication.

SelekTOR Features

Features

  1. Open source and free
  2. Supports various data formats like CSV, JSON, XML, etc
  3. Configurable anonymization rules
  4. Bulk processing of multiple files
  5. Masking and alteration of sensitive fields
  6. Predefined templates for common regulations like GDPR
  7. Command line interface
  8. Customizable output file naming
  9. Logging and error handling

Pricing

  • Open Source

Pros

Free and open source

Easy to use interface

Flexibility in anonymization rules

Handles large datasets well

Actively maintained

Cons

Limited transformation functions compared to paid tools

Requires some coding skills for customization

No graphical user interface

Lacks data visualization features


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