Deda (Printer anonymisation)

Document Colour Tracking Dots, or yellow dots, are small systematic dots which encode information about the printer and/or the printout itself. This process is integrated in almost every commercial colour laser printer.

Cost / License

  • Free
  • Open Source

Platforms

  • Mac
  • Windows  See [https://dfd.inf.tu-dresden.de/](https://dfd.inf.tu-dresden.de/) for tutorial. Prefer Linux.
  • Linux  Runs as a Pip Python app
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Features

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Properties

  1.  Lightweight
  2.  Privacy focused

Features

  1.  No registration required
  2.  No Tracking
  3.  Ad-free

 Tags

  • printer-forensic
  • Privacy Protection
  • digital-forensics
  • yellow-dots
  • tracking-dots
  • printing
  • anonymisation

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Deda (Printer anonymisation) information

  • Developed by

    dfd-tud
  • Licensing

    Open Source (GPL-3.0) and Free product.
  • Written in

  • Alternatives

    0 alternatives listed
  • Supported Languages

    • English

AlternativeTo Category

Security & Privacy

GitHub repository

  •  2,356 Stars
  •  103 Forks
  •  5 Open Issues
  •   Updated  
View on GitHub

Our users have written 1 comments and reviews about Deda (Printer anonymisation), and it has gotten 2 likes

Deda (Printer anonymisation) was added to AlternativeTo by LinuxDoge on and this page was last updated .

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Top Positive Comment
LinuxDoge
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I know no alternative. Its a really useful program good work behind it!

What is Deda (Printer anonymisation)?

Document Colour Tracking Dots, or yellow dots, are small systematic dots which encode information about the printer and/or the printout itself. This process is integrated in almost every commercial colour laser printer. This means that almost every printout contains coded information about the source device, such as the serial number.

On the one hand, this tool gives the possibility to read out and decode these forensic features and on the other hand, it allows anonymisation to prevent arbitrary tracking.

If you use this software, please cite the paper: Timo Richter, Stephan Escher, Dagmar Schönfeld, and Thorsten Strufe. 2018. Forensic Analysis and Anonymisation of Printed Documents. In Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec '18). ACM, New York, NY, USA, 127-138. DOI: https://doi.org/10.1145/3206004.3206019

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