Wendzel, Steffen and Krätzer, Christian and Dittmann, Jana and Caviglione, Luca and Mileva, Aleksandra and Schmidbauer, Tobias and Vielhauer, Claus and Zander, Sebastian (2025) Combining Different Existing Methods for Describing Steganography Hiding Methods. In: Availability, Reliability and Security. ARES 2025, 11-14 Aug 2025, Ghent, Belgium.
Full text not available from this repository.Abstract
The proliferation of digital carriers that can be exploited to conceal arbitrary data has increased the number of techniques for implementing steganography and other forms of information hiding. As a result, the literature overlaps greatly in terms of concepts and terminology. Moreover, from a cybersecurity viewpoint, the same hiding mechanism may be perceived differently, making harder the development of a unique defensive strategy or the definition of practices to mitigate risks arising from the use of steganography. To mitigate these drawbacks, several researchers introduced approaches that aid in the unified description of steganography methods and covert channels.
Understanding and combining all descriptive methods for steganography techniques is a challenging but important task. For instance, researchers might want to explain how malware applies a certain steganography technique or categorize a novel hiding approach. Consequently, this paper aims to provide an introduction to the concept of descriptive methods for steganography. The paper is organized in the form of a tutorial, with the main goal of explaining how existing descriptions and taxonomy objects can be combined to achieve a detailed categorization and description of hiding methods. To show how this can effectively help the research community, the paper also contains various real-world examples.
| 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: | 04 Nov 2025 08:46 |
| Last Modified: | 04 Nov 2025 08:46 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/36715 |
