A Revised Taxonomy of Steganography Embedding Patterns

Wendzel, Steffen and Caviglione, Luca and Mazurczyk, Wojciech and Mileva, Aleksandra and Dittmann, Jana and Krätzer, Christian and Lamshöft, Kevin and Vielhauer, Claus and Hartmann, Laura and Keller, Jörg and Neubert, Tom (2021) A Revised Taxonomy of Steganography Embedding Patterns. In: CUING, ARES 2021, August 17–20, 2021, Vienna, Austria.

Full text not available from this repository.

Abstract

Steganography embraces several hiding techniques which spawn across multiple domains. However, the related terminology is not unified among the different domains, such as digital media steganography, text steganography, cyber-physical systems steganography, network steganography (network covert channels), local covert channels, and out-of-band covert channels. To cope with this, a prime attempt has been done in 2015, with the introduction of the so-called hiding patterns, which allow to describe hiding techniques in a more abstract manner. Despite significant enhancements, the
main limitation of such a taxonomy is that it only considers the case of network steganography.
Therefore, this paper reviews both the terminology and the taxonomy of hiding patterns as to make them more general. Specifically, hiding patterns are split into those that describe the embedding and the representation of hidden data within the cover object. As a first research action, we focus on embedding hiding patterns
and we show how they can be applied to multiple domains of steganography instead of being limited to the network scenario.
Additionally, we exemplify representation patterns using network steganography. Our pattern collection is available under https://patterns.ztt.hs-worms.de.

Item Type: Conference or Workshop Item (Paper)
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Aleksandra Mileva
Date Deposited: 01 Sep 2021 18:13
Last Modified: 01 Sep 2021 18:13
URI: https://eprints.ugd.edu.mk/id/eprint/28392

Actions (login required)

View Item View Item