A Generic Taxonomy for Steganography Methods


연구 분야: Strategies



학회: ACM Computing Surveys, Volume 57, Issue 9


초록

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.


Author Profile
Steffen Wendzel

Institute für Organisation und Management von Informationssystemen (OMI) / Kommunikations- und Informationszentrum (kiz) Ulm University Faculty of Engineering Computer Science and Psychology Ulm Germany Center for Technology & Transfer (ZTT) Hochschule Worms Worms Germany and Faculty of Mathematics & Computer Science FernUniversität in Hagen Hagen Germany

Andorra
Author Profile
Luca Caviglione

IMATI CNR Genova Genova Italy

Italy
Author Profile
Wojciech Mazurczyk

Warsaw University of Technology Warszawa Poland

Poland

📄 논문 정보

발행 연도 2025년
인용수 5
출판 국가 Andorra, Macedonia, Germany, Italy, Poland
사이트 ACM
좋아요 수 0

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