REVIEW 7 minor 55 references
Combining Different Existing Methods for Describing Steganography Hiding Methods
T0 review · 0 major / 7 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read The paper proposes a seven-component naming convention that lets any steganography hiding method be described in a unified, comparable form built from existing taxonomies.
desk verdict A modest tutorial that recombines the authors' own published taxonomies into a unified naming convention; fine for what it is, but the new content is the assembly, not the pieces. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The carrying mechanism is the seven-component naming convention itself, with the mandatory hiding pattern from the 2025 generic taxonomy as its anchor. A hiding pattern gives an abstract, rule-based name for how a secret is embedded or represented. The other components place that pattern in a fixed, ordered structure with defaults, so that any method can be expressed in the same slot-by-slot form and compared attribute by attribute.
What would settle it
Take a recent filesystem, AI-model, or air-gapped steganography method that is not among the paper's examples and run it through the convention; if it cannot be assigned any pattern from the 2025 taxonomy, or if two distinct methods receive the identical seven-component name, then the promised unified comparability does not hold.
Extended reading notes
Core claim
The paper's central claim is that existing description methods, each developed separately, can be combined without new theory into a single naming convention that yields a unified, comparable description of any steganography method. Every hiding method receives a name with up to seven slots: locality, directness, activeness, level characteristic, reference-temporality, a free-form star property, and a mandatory hiding pattern from the 2025 generic taxonomy. Default slots are omitted, so the shortest valid description is a single pattern code such as E1.3d1. Digital Media LSB State/Value Modulation. Multi-level and multi-media methods are rendered as ordered lists of layer-wise descriptions, which the underlying taxonomy alone does not provide.
Load-bearing premise
The convention assumes the 2025 hiding-pattern taxonomy and the indirect-pattern set are complete and correctly classify every hiding method, so any method they omit or mislabel will be misdescribed by every name built on them.
Editorial extensions
If this is right
- A steganalyst or malware researcher can describe a hiding method with a single standardized name, making comparison across papers straightforward.
- The mandatory hiding pattern makes re-inventions visible: if the same pattern code applies, the method is not new.
- Multi-level steganography and methods spanning several media can be represented as an ordered list of layer descriptions, which the 2025 taxonomy alone does not capture.
- The interactive online tool turns the convention into a practical aid for teaching and for classifying observed covert channels.
- When the seven components do not cover all nuances, the unified description method's extra attributes supply the remaining detail.
Reading between the lines
- A natural next step would be to require the convention in stegomalware reports, so that malware families are described with machine-readable pattern codes rather than prose.
- The convention could be tested against hidden channels in filesystems, AI models, and air-gapped systems, domains the paper names but does not work through; success there would strengthen the claim of universality.
- A falsifiable extension is to automate classification: given a natural-language description of a method, an algorithm could emit the seven-component name, and disagreement with human experts would reveal where the convention needs refinement.
- The paper leaves countermeasures out, but a dual convention for defenses could be built on the same component skeleton, which the authors list as future work.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proposes a seven-component naming convention for describing steganography hiding methods, combining existing approaches: locality (local or distributed, with distribution patterns from Mazurczyk et al.), directness (direct or indirect, with redirector/broker patterns from Schmidbauer and Wendzel), activeness (active or passive variants), level characteristic (single- or multi-level), reference-temporality (present, history, or future data), a free-form star property, and a mandatory hiding pattern from the 2025 generic taxonomy of Wendzel et al. The paper is organized as a tutorial, with worked examples spanning network, audio, CPS/OPC UA, and text steganography, and it advertises an interactive online tool. Section 5 explicitly acknowledges coverage limitations and positions the work as an intermediate, extensible step rather than a complete standard.
Significance. If the proposed convention is adopted, it could reduce terminological overlap and re-invention in the steganography literature by providing a common vocabulary built from existing taxonomies. The tutorial format is appropriate for this goal, and the paper is honest about its dependency on the completeness of the underlying taxonomies, especially [48] and [41]. The main weaknesses are the absence of formal validation (e.g., inter-rater reliability or an independent corpus of classifications) and the fact that several mandatory components come from the authors' own prior work; however, these limitations are acknowledged and do not undermine the value of the tutorial as a synthesis and didactic contribution.
minor comments (7)
- [Section 3.2] The multi-level filesystem example is internally inconsistent: the list gives (c) E1.2f1 filesystem random state/value modulation, but the following sentence states that the innermost layer is LSB state/value modulation. Please correct either the list entry or the explanatory text so that the example teaches a single unambiguous description.
- [Section 3.2] The first sophisticated example writes "E.1n1. network LSB state/value modulation", which appears to be a typo for E1.3n1 (network LSB state/value modulation); the extra dot after E and the missing sub-class number are not used elsewhere in the paper and should be fixed.
- [Section 4.3 and Table 3] Example 3 is labeled "E1.1n1. Network State/Value Modulation", but E1.1 denotes reserved/unused state/value modulation; the example should say "Network Reserved/Unused State/Value Modulation". In the same section, the phrase "patterns E1n1. and R1n1." omits the sub-class numbers used in the taxonomy.
- [Section 3 and Section 4.5] The convention states that default categories (non-distributed, direct, active, single-level, present-focused) can be omitted, but Example 4.5 explicitly classifies the simplest OPC UA method as "Non-Distributed E1.3c1..." and labels the other two methods as "Distributed E1.3c1..." without the bracketed distribution pattern (e.g., pattern variation or combination) that Section 3.1 requires. Please align the stated rule with the examples.
- [Figure 1] The Directness component lists "redirector, dead proxy, drop", which does not match Table 2 or the referenced [41] taxonomy; it should read "redirector, proxy, dead drop" (or "redirector, dead drop, proxy"). Also, the figure uses "Levels" while the text and Section 3.1 use "Level Characteristic"; please harmonize the terminology.
- [Section 2 and Section 4.2] There are a few wording/typo issues: Section 2 contains the garbled phrase "on atout court manner" (likely "in a tout court manner"), and Section 4.2 has "utilze" for "utilize". These should be corrected in a final proofreading pass.
- [Section 4.2] The example uses "E1n1. Network State/Value Modulation" and "R2.2n1. Network Element Positioning"; the first pattern lacks the sub-class number that appears in other examples. Please clarify whether E1n1 is intended as a shorthand for the general E1 pattern and, if so, state this convention explicitly.
Circularity Check
No significant circularity: the paper is an explicitly acknowledged combination of prior taxonomies, not a derivation or prediction, so its claims reduce to its inputs only in the sense of deliberate aggregation.
full rationale
The paper is a tutorial that combines previously published taxonomies and description methods. It makes no fitted predictions and performs no derivations. Each component of the proposed naming convention is explicitly attributed to prior work, including the hiding-pattern taxonomy [48], the indirect-pattern set [41], the distribution terms [50,31], and the reference-temporality and activeness terms [49,52,23]. The examples in Section 4 are classifications of known steganography methods using those published components, not tests that could be forced by construction. The central claim—that combining existing methods allows a unified and comparable description—is true by explicit aggregation, not by hidden equivalence. The only substantive dependency is the completeness and validity of the cited taxonomies, and the paper directly acknowledges this in Section 5: 'our work might be limited due to the lack of some categorizations and subtaxonomies of information hiding topics.' That is an honest limitation, not circularity. The conclusion is also hedged ('could be reduced'), and no parameter is fitted and renamed as a prediction. Therefore no circular step can be exhibited, and the appropriate score is 0.
Assumptions & free parameters
assumptions (4)
- domain assumption The 2025 generic pattern taxonomy [48] is complete and correct enough to serve as the mandatory Hiding Pattern attribute for all steganography domains.
- domain assumption The indirect pattern categories (redirector, broker, proxy, dead drop) from [41] are valid and can be applied beyond the network context.
- ad hoc to paper The six naming components (locality, directness, activeness, level, reference-temporality, star-property) are independent and can be freely combined without semantic conflict.
- ad hoc to paper Default categories ('-') are unambiguous, so omitting a component (e.g., not saying 'active' or 'direct') does not change the described channel.
Cite this review
Pith. "Pith review of Combining Different Existing Methods for Describing Steganography Hiding Methods." pith.science (2026). https://pith.science/paper/WEXNCZPD
@misc{pith2026250601700,
author = {Pith},
title = {Pith review of: Combining Different Existing Methods for Describing Steganography Hiding Methods},
year = {2026},
howpublished = {\url{https://pith.science/paper/WEXNCZPD}},
note = {Machine review of arXiv:2506.01700}
}
read the original abstract
The proliferation of digital carriers that can be exploited to conceal arbitrary data has greatly increased the number of techniques for implementing network steganography. 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 network 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.
Figures
Reference graph
Works this paper leans on
-
[48]
Wendzel, S., Caviglione, L., Mazurczyk, W., Mileva, A., Dittmann, J., Krätzer, C., Lamshöft, K., Vielhauer, C., Hartmann, L., Keller, J., Neubert, T., Zillien, S.: A generic taxonomy for steganography methods. ACM Comput. Surv.57(9), 1–37 (May 2025).https://doi.org/10.1145/3729165
- [41]
-
[1]
Computers & Security144(2024).https://doi.org/10.1016/ j.cose.2024.103976 16 S
DomEye: Detecting network covert channel of domain fronting with through- put fluctuation. Computers & Security144(2024).https://doi.org/10.1016/ j.cose.2024.103976 16 S. Wendzel et al
arXiv 2024
-
[2]
Ahvanooey, M.T., Li, Q., Hou, J., Rajput, A.R., Chen, Y.: Modern text hiding, text steganalysis, and applications: A comparative analysis. Entropy21(4), 355 (2019)
work page 2019
-
[3]
IBM Systems Journal35 (Nos3&4), 313–336 (1996)
Bender, W., Gruhl, D., Morimoto, N., Lu, A.: Techniques for data hiding. IBM Systems Journal35 (Nos3&4), 313–336 (1996)
work page 1996
-
[4]
Bennett, K.: Linguistic steganography: Survey, analysis, and robustness concerns for hiding information in text. Tech. Rep. 2004-13, CERIAS Tech Report, Purdue University (2004)
work page 2004
-
[5]
ACM Computing Surveys (CSUR)49(2), 1–36 (2016)
Carrara, B., Adams, C.: Out-of-band covert channels—a survey. ACM Computing Surveys (CSUR)49(2), 1–36 (2016)
work page 2016
-
[6]
IEEE Security & Privacy20(5), 101–106 (2022)
Caviglione, L., Mazurczyk, W.: Never mind the malware, here’s the stegomalware. IEEE Security & Privacy20(5), 101–106 (2022)
work page 2022
Show all 55 references
-
[7]
IEEE Network38(5), 255–263 (2024)
Caviglione, L., Mazurczyk, W.: You can’t do that on protocols anymore: analysis of covert channels in ietf standards. IEEE Network38(5), 255–263 (2024)
2024
-
[8]
IEEE Transactions on Industrial Informatics13(4), 1921–1931 (2017)
Caviglione, L., Podolski, M., Mazurczyk, W., Ianigro, M.: Covert channels in per- sonal cloud storage services: The case of Dropbox. IEEE Transactions on Industrial Informatics13(4), 1921–1931 (2017)
2017
-
[9]
IEEE Trans
Chang, C.C., Lin, C.Y.: Reversible steganography for VQ-compressed images using side matching and relocation. IEEE Trans. Inform. Forens. and Sec.1(4), 493–501 (2006)
2006
-
[10]
INAE Letters4, 65–75 (2019)
Dey, A., Bhattacharya, S., Chaki, N.: Software watermarking: Progress and chal- lenges. INAE Letters4, 65–75 (2019)
2019
-
[11]
Information Security Journal: A Global Perspective30(2), 63–87 (2021)
Dhawan, S., Gupta, R.: Analysis of various data security techniques of steganog- raphy: A survey. Information Security Journal: A Global Perspective30(2), 63–87 (2021)
2021
-
[12]
DICOM: The DICOM standard (2025),https://www.dicomstandard.org/
2025
-
[13]
Eckstein,K.,Jahnke,M.:Datahidinginjournalingfilesystems.In:DigitalForensic Research Workshop (2005)
2005
-
[14]
Journal of Universal Computer Science (J
Fraczek, W., Mazurczyk, W., Szczypiorski, K.: Multi-level steganography: Improv- ing hidden communication in networks. Journal of Universal Computer Science (J. UCS)18(14), 1967–1986 (2012).https://doi.org/10.3217/jucs-018-14-1967
2012 doi
-
[15]
Cambridge University Press (2009).https://doi.org/10.1017/ CBO978113919290
Fridrich, J.: Steganography in Digital Media: Principles, Algorithms, and Applications. Cambridge University Press (2009).https://doi.org/10.1017/ CBO978113919290
2009
-
[16]
IEEE Transactions on Software Engi- neering13, 292–296 (February 1987)
Girling, C.G.: Covert channels in LAN’s. IEEE Transactions on Software Engi- neering13, 292–296 (February 1987)
1987
-
[17]
In: 2015 IEEE 28th Computer Security Foundations Symposium
Guri, M., Monitz, M., Mirski, Y., Elovici, Y.: BitWhisper: Covert signaling channel between air-gapped computers using thermal manipulations. In: 2015 IEEE 28th Computer Security Foundations Symposium. pp. 276–289 (2015).https://doi. org/10.1109/CSF.2015.26
2015 doi
-
[18]
In: 26th ACSAC
Han, J., Pan, M., Gao, D., Pang, H.: A multi-user steganographic file system on un- trusted shared storage. In: 26th ACSAC. pp. 317–326. ACM (2010).https://doi. org/10.1145/1920261.1920309,https://doi.org/10.1145/1920261.1920309
2010
-
[19]
In: 2023 IEEE 19th International Conference on e-Science (e-Science)
Heßeling, C., Keller, J., Litzinger, S.: Reversible network covert channel by payload modulation in streams of decimal sensor values. In: 2023 IEEE 19th International Conference on e-Science (e-Science). IEEE Computer Society, Los Alamitos, CA, USA (2023).https://doi.org/10.11...
2023
-
[20]
In: Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security
Hildebrandt, M., Lamshöft, K., Dittmann, J., Neubert, T., Vielhauer, C.: Informa- tion hiding in industrial control systems: An opc ua based supply chain attack and its detection. In: Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security. pp. 115–1...
2020
-
[21]
In: Infor- mation hiding
Johnson, N.F., Katzenbeisser, S.: A survey of steganographic techniques. In: Infor- mation hiding. pp. 43–78 (2000)
2000
-
[22]
In: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security
Knöchel, M., Karius, S.: Text steganography methods and their influence in mal- ware: A comprehensive overview and evaluation. In: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security. pp. 113–124 (2024)
2024
-
[24]
Li, B., He, J., Huang, J., Shi, Y.Q.: A survey on image steganography and ste- ganalysis. J. Inf. Hiding Multim. Signal Process.2(2), 142–172 (2011)
2011
-
[25]
Liu, H., Zhang, C., Wang, Z., Guo, C., Gou, P., Shan, L., Lu, Z.: To deliver more information in coverless information hiding. Multim. Tools Appl.83(3), 7215–7229 (2024)
2024
-
[26]
In: Proc
Liu, T., Liu, Z., Liu, Q., Wen, W., Xu, W., Li, M.: Stegonet: Turn deep neu- ral network into a stegomalware. In: Proc. ACSAC’20. p. 928–938. ACM (2020). https://doi.org/10.1145/3427228.3427268
2020
-
[27]
IEEE Communications Magazine52(5), 225–229 (2014)
Lubacz, J., Mazurczyk, W., Szczypiorski, K.: Principles and overview of network steganography. IEEE Communications Magazine52(5), 225–229 (2014)
2014
-
[28]
Mathematics9(21), 2829 (2021)
Majeed, M.A., Sulaiman, R., Shukur, Z., Hasan, M.K.: A review on text steganog- raphy techniques. Mathematics9(21), 2829 (2021)
2021
-
[29]
techxiv (2024).https://doi.org/10.36227/techrxiv.173397886.68744435/v1
Masud, M.A., Akter, S., Sultana, N., Yousuf, M.A., Uddin, M.Z.: Multi-layered password-based steganography: A novel approach for tiered information hiding. techxiv (2024).https://doi.org/10.36227/techrxiv.173397886.68744435/v1
2024
-
[30]
In: Proc
Mazurczyk, W., Szary, P., Wendzel, S., Caviglione, L.: Towards reversible storage network covert channels. In: Proc. ARES 2019. pp. 1–8
2019
-
[31]
In: Proc
Mazurczyk, W., Wendzel, S., Cabaj, K.: Towards deriving insights into data hiding methods using pattern-based approach. In: Proc. ARES’18. pp. 10:1–10. ACM (2018).https://doi.org/10.1145/3230833.3233261
2018
-
[32]
In: CUING, ARES ’21: Proceedings of the 16th International Conference on Availability, Reliability and Security (2021).https://doi.org/10.1145/3465481.347007
Mileva, A., Caviglione, L., Velinov, A., Wendzel, S., Dimitrova, V.: Risks and opportunities for information hiding in dicom standard. In: CUING, ARES ’21: Proceedings of the 16th International Conference on Availability, Reliability and Security (2021).https://doi.org/10.1145...
2021
-
[33]
Open Computer Science4(2), 45–66 (2014)
Mileva, A., Panajotov, B.: Covert channels in TCP/IP protocol stack-extended version. Open Computer Science4(2), 45–66 (2014)
2014
-
[34]
In: Proc
Neubert, T., Peuker, B., Schueler, E., Ullrich, H., Buxhoidt, L., Vielhauer, C.: An analysis framework for steganographic network data in industrial control systems. In: Proc. SECURWARE 2024. IARIA (2024)
2024
-
[35]
Soft computing19(11), 3331–3339 (2015)
Ogiela, M.R., Koptyra, K.: False and multi-secret steganography in digital images. Soft computing19(11), 3331–3339 (2015)
2015
-
[36]
OPC Foundation: official website (2025),https://opcfoundation.org
2025
-
[37]
In: Advances in Neural Information Processing Systems (2022)
Pan, X., Zhang, S., Zhang, M., Yang, M.: House of cans: Covert transmission of internal datasets via capacity-aware neuron steganography. In: Advances in Neural Information Processing Systems (2022)
2022
-
[38]
Petitcolas, F.A.P., Anderson, R.J., Kuhn, M.G.: Information hiding-a survey. Proc. of the IEEE87(7), 1062–1078 (1999)
1999
-
[39]
IEEE security & privacy1(3), 32–44 (2003)
Provos, N., Honeyman, P.: Hide and seek: An introduction to steganography. IEEE security & privacy1(3), 32–44 (2003)
2003
-
[40]
CAAI Transactions on Intelligence Technology6(2), 180–191 (2021) 18 S
Regazzoni,F.,Palmieri,P.,Smailbegovic,F.,Cammarota,R.,Polian,I.:Protecting artificial intelligence ips: a survey of watermarking and fingerprinting for machine learning. CAAI Transactions on Intelligence Technology6(2), 180–191 (2021) 18 S. Wendzel et al
2021
-
[42]
In: Proc
Song, C., Zhang, Y., Lu, G.: Reversible data hiding in encrypted images based on image partition and spatial correlation. In: Proc. International Workshop On Digital Watermarking (IWDW). pp. 180–194 (2018)
2018
-
[43]
In: Proc
Song, C., Ristenpart, T., Shmatikov, V.: Machine learning models that remember too much. In: Proc. ACM CCS 2017. pp. 587–601. ACM (2017).https://doi. org/10.1145/3133956.3134077
2017
-
[44]
In: International Workshop on Digital Watermarking
Spiekermann, D., Keller, J., Eggendorfer, T.: Towards covert channels in cloud environments: a study of implementations in virtual networks. In: International Workshop on Digital Watermarking. pp. 248–262. Springer (2017).https://doi. org/10.1007/978-3-319-64185-0_19
2017 doi
-
[45]
In: Proc
Strachanski, F., Petrov, D., Schmidbauer, T., Wendzel, S.: A comprehensive pattern-based overview of stegomalware. In: Proc. ARES’24 (2024).https://doi. org/10.1145/3664476.3670886
2024
-
[46]
IEEE Access7, 161899–161915 (2019).https: //doi.org/10.1109/ACCESS.2019.2951425
Velinov, A., Mileva, A., Wendzel, S., Mazurczyk, W.: Covert channels in the MQTT-based Internet of Things. IEEE Access7, 161899–161915 (2019).https: //doi.org/10.1109/ACCESS.2019.2951425
2019
-
[47]
Neurocomputing488, 226–247 (2022)
Wan, W., Wang, J., Zhang, Y., Li, J., Yu, H., Sun, J.: A comprehensive survey on robust image watermarking. Neurocomputing488, 226–247 (2022)
2022
-
[49]
IEEE Transactions on Dependable and Secure Computing (TDSC) (2024).https://doi.org/10.1109/ TDSC.2024.3410679
Wendzel, S., Schmidbauer, T., Zillien, S., Keller, J.: DYST (did you see that?): An amplified covert channel that points to previously seen data. IEEE Transactions on Dependable and Secure Computing (TDSC) (2024).https://doi.org/10.1109/ TDSC.2024.3410679
2024
-
[50]
Wendzel, S., Zander, S., Fechner, B., Herdin, C.: Pattern-based survey and cat- egorization of network covert channel techniques. Comp. Surveys47(3) (2015). https://doi.org/10.1145/2684195
2015 doi
-
[51]
In: Proc
Wolf, M.: Covert channels in LAN protocols. In: Proc. LAN Security, LNCS, vol. 396, pp. 89–101. Springer (1989)
1989
-
[52]
Zander, S.: Performance of selected noisy covert channels and their countermea- sures in IP networks. Ph.D. thesis, Swinburne Univ. (2010)
2010
-
[53]
Communications Surveys & Tutorials9(3), 44–57 (2007)
Zander, S., Armitage, G., Branch, P.: A survey of covert channels and countermea- sures in computer network protocols. Communications Surveys & Tutorials9(3), 44–57 (2007)
2007
-
[54]
In: Proc
Zhiyong, C., Yong, Z.: Entropy based taxonomy of network convert channels. In: Proc. 2nd Int. Conf. on Power Electronics and Intelligent Transportation System (PEITS). pp. 451–455 (2009)
2009
-
[55]
Soft Comput.23(13), 4927–4938 (2019)
Zhou, Z., Mu, Y., Wu, Q.M.J.: Coverless image steganography using partial- duplicate image retrieval. Soft Comput.23(13), 4927–4938 (2019)
2019
-
[56]
Computers & Security29(6), 686–696 (2010).https://doi.org/10.1016/j
Zi, X., Yao, L., Pan, L., Li, J.: Implementing a passive network covert timing chan- nel. Computers & Security29(6), 686–696 (2010).https://doi.org/10.1016/j. cose.2009.12.010
2010 doi
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