The Metadata Anonymization Toolkit
Julien Voisin, Christophe Guyeux, Jacques M. Bahi
TL;DR
The paper introduces the Metadata Anonymization Toolkit (MAT), a tool designed to enhance privacy by removing identifiable metadata from digital files, balancing information loss and privacy protection.
Contribution
It presents the first steps towards metadata anonymization in Free Software, including a categorization of metadata, privacy policy considerations, and the design of the MAT.
Findings
Categorization of common metadata types
Discussion of privacy policies for metadata removal
Specification of the Metadata Anonymization Toolkit (MAT)
Abstract
This document summarizes the experience of Julien Voisin during the 2011 edition of the well-known \emph{Google Summer of Code}. This project is a first step in the domain of metadata anonymization in Free Software. This article is articulated in three parts. First, a state of the art and a categorization of usual metadata, then the privacy policy is exposed/discussed in order to find the right balance between information lost and privacy enhancement. Finally, the specification of the Metadata Anonymization Toolkit (MAT) is presented, and future possible works are sketched.
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Taxonomy
TopicsDigital Media Forensic Detection · Digital and Cyber Forensics · Advanced Steganography and Watermarking Techniques