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Related Experiment Video

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Applying Permanent, Robust Stenciled Patterns of Fine Particles to Elastomeric Surfaces

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Distributed Steganography in PDF Files-Secrets Hidden in Modified Pages.

Katarzyna Koptyra¹, Marek R Ogiela¹

¹AGH University of Science and Technology, 30 Mickiewicza Ave., 30-059 Krakow, Poland.

Entropy (Basel, Switzerland)

|December 8, 2020

Summary

This study introduces a novel method for hiding messages within PDF files using secret splitting and dereferenced objects. The technique is versatile, works across various PDF types, and remains undetectable during normal use.

Keywords:

distributed pdf secret sharing steganography

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Area of Science:

Computer Science
Information Security
Digital Forensics

Background:

Steganography is crucial for covert communication.
Existing methods may be detectable or limited in scope.
PDF files offer a complex structure suitable for data hiding.

Purpose of the Study:

To develop a robust steganographic method for embedding secret messages within PDF files.
To ensure the hidden data remains undetectable through standard PDF viewers.
To explore the combination of structural manipulation with content-based steganography.

Main Methods:

Utilizing dereferenced objects within the PDF structure.
Implementing secret splitting or sharing algorithms for data fragmentation.
Testing the method's applicability across diverse PDF file types (text, presentations, scanned images).

Main Results:

Successfully diffused and hid messages within multiple PDF files.
The steganographic process is based on PDF structure manipulation, not content alteration.
Hidden data remained invisible and undetectable when viewed with seven different PDF applications.

Conclusions:

The presented method offers a secure and versatile approach to PDF steganography.
The technique's reliance on structural manipulation enhances its compatibility with other steganographic methods.
This research contributes to advancements in covert data embedding and digital information security.