Contributo in atti di convegno, 2021, ENG, 10.1145/3465481.3470069

A Revised Taxonomy of Steganography Embedding Patterns

S. Wendzel, L. Caviglione, W. Mazurczyk, A. Mileva, J. Dittmann, C. Krätzer, K. Lamshöft, C. Vielhauer, L. Hartmann, J. Keller, T. Neubert

Worms University of Applied Sciences, National Research Council of Italy, Warsaw University of Technology, University Goce Delcev, University of Magdeburg, Brandeburg University of Applied Sciences, FernUniversität in Hagen.

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.

3rd International Workshop on Information Security Methodology and Replication Studies congiuntamente con la 16th International Conference on Availability, Reliability and Security (ARES 2021), All-Digital Conference (per pandemia Covid-19), 17-20/08/2021

Keywords

covert channels, information hiding, steganography, cybersecurity

CNR authors

Caviglione Luca

CNR institutes

IMATI – Istituto di matematica applicata e tecnologie informatiche "Enrico Magenes"

ID: 454726

Year: 2021

Type: Contributo in atti di convegno

Creation: 2021-06-15 10:18:59.000

Last update: 2021-06-17 09:49:32.000

CNR authors

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

DOI: 10.1145/3465481.3470069

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:454726

DOI: 10.1145/3465481.3470069