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A Generic Taxonomy for Steganography Methods

ACM Computing Surveys. Bd. 57. H. 9. Association for Computing Machinery (ACM) 2025 S. 1 - 37

Erscheinungsjahr: 2025

Publikationstyp: Zeitschriftenaufsatz

Sprache: Englisch

Doi/URN: 10.1145/3729165

Volltext über DOI/URN

Geprüft:Bibliothek

Inhaltszusammenfassung


A unified understanding of terms is essential for every scientific discipline: steganography is no exception. Being divided into several domains (e.g., network and text steganography), it is crucial to provide a unified terminology as well as a taxonomy that is not limited to few applications or areas. A prime attempt toward a unified understanding of terms was conducted in 2015 with the introduction of a pattern-based taxonomy for network steganography. In 2021, the first work toward a patte...A unified understanding of terms is essential for every scientific discipline: steganography is no exception. Being divided into several domains (e.g., network and text steganography), it is crucial to provide a unified terminology as well as a taxonomy that is not limited to few applications or areas. A prime attempt toward a unified understanding of terms was conducted in 2015 with the introduction of a pattern-based taxonomy for network steganography. In 2021, the first work toward a pattern-based taxonomy for all domains of steganography was proposed. However, this initial attempt still faced several shortcomings, e.g., remaining inconsistencies and a lack of patterns for several steganography domains. As the consortium who published the previous studies on steganography patterns, we present the first comprehensive pattern-based taxonomy tailored to fit all known domains of steganography, including smaller and emerging areas, such as filesystem, IoT/CPS, and AI/ML steganography. To make our contribution more effective and promote the use of the taxonomy to advance research, we also provide a unified description method joint with a thorough tutorial on its utilization.» weiterlesen» einklappen

Autoren


Caviglione, Luca (Autor)
Mazurczyk, Wojciech (Autor)
Mileva, Aleksandra (Autor)
Dittmann, Jana (Autor)
Krätzer, Christian (Autor)
Lamshöft, Kevin (Autor)
Vielhauer, Claus (Autor)
Keller, Jörg (Autor)
Neubert, Tom (Autor)

Klassifikation


DFG Fachgebiet:
4.43 - Informatik

DDC Sachgruppe:
Informatik

Verbundene Forschungsprojekte


Verknüpfte Personen


Steffen Wendzel


Sebastian Zillien