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REVIEW 5 major objections 5 minor 174 references

Digital Watermarking of video streams: Review of the State-Of-The-Art

T0 review · 5 major / 5 minor · reviewed 2026-08-14 · deepseek-v4-flash

Pith's one-line read To pick a video watermarking scheme, first fix the trade-off among invisibility, robustness, and efficiency; the survey argues the right location and method follow from that balance.

desk verdict A broad, useful survey of video watermarking whose abstract overpromises a design framework the body never delivers; fixable with honest framing and a few corrections. read the letter →

arxiv 1908.02039 v2 pith:7FQ77U56 submitted 2019-08-06 eess.IV cs.MM

classification eess.IVcs.MM
keywords digitalwatermarkingvideostate-of-the-artreviewinvisibilityrobustnessefficiencyembeddinglocationthreatmodel
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper is a state-of-the-art review that tries to make video watermarking scheme selection systematic. The authors argue that every application can be characterized by a desired equilibrium point among invisibility, robustness, and efficiency, and that this point should drive two further decisions: the embedding location and the embedding method. They survey threat models, embedding locations, embedding methods, and combinations with other technologies, then draw out a gap: robust watermark embedding fast enough for real-time communication has not been demonstrated. If the framework holds, a designer can pick a scheme from the literature by matching the application's required trade-off instead of re-deriving trade-offs for each new use case.

What carries the argument

The carrying device is a two-level taxonomy. At the property level, watermarking schemes are characterized by medium fidelity (invisibility), watermark fidelity and recognizability, blindness, robustness, capacity, and time complexity, with the first three in explicit tension. At the design level, the paper decomposes any scheme into location (videos as visual objects with HVS-based block selection, or videos as network data with physical-layer, storage-channel, timing-channel, and application-protocol embedding) and method (spatial versus frequency domain, including DCT, DST, DWT, DFT, SVD, and hybrid domains, plus motion-vector embedding). The survey's central claim is that fixing the equilibrium point on the three headline properties, together with the threat model, is enough to walk this taxonomy and reach the best location and method.

What would settle it

Find two applications with identical weights on invisibility, robustness, and efficiency but different capacity or blindness needs, and exhibit that the optimal location/method differs; this would contradict the claim that the equilibrium point alone determines the choice. The paper's own examples, a fragile tampering watermark versus a robust copyright watermark, suggest such a pair exists.

Watch

Extended reading notes

Core claim

On its own terms, this paper claims that the sprawling design space of video watermarking can be navigated in three decisions: first fix the desired equilibrium among invisibility (how little distortion the watermark causes), robustness (how hard it is to remove), and efficiency (embedding and extraction cost); then deduce where to embed (metadata or packet level, whole frames, or selected regions of frames chosen by human visual system criteria); then choose how to embed (spatial-domain methods such as least-significant-bit and linear masking, or frequency-domain methods such as DCT, DWT, DFT, SVD and hybrids). It organizes the surveyed literature as responses to these criteria and links each property to applications: copyright protection, tampering identification, clandestine communication, traffic analysis, and access control. The survey also finds that no robust scheme has been shown to embed within the time budget of real-time communication, which points to a concrete open problem.

Load-bearing premise

The whole deduction rests on the premise that the desired balance among invisibility, robustness, and efficiency is the main determinant of the best embedding location and method; if capacity, blindness, or reversibility dominates for a given application, the promised deduction is incomplete.

Editorial extensions

If this is right

  • Application needs and threat model narrow the candidate set to a small number of location/method pairs, so a developer can select a surveyed scheme without building a custom comparison.
  • The taxonomy predicts that robustness-oriented applications such as copyright protection should prefer frequency-domain methods and HVS-selected blocks, while capacity-oriented steganography can accept spatial-domain embedding at lower robustness.
  • The identified gap implies a concrete research target: a robust watermarking scheme whose embedding completes within the frame acquisition budget, 33 ms at 30 fps and 16 ms at 60 fps.
  • Combining watermarking with homomorphic encryption, machine-learning detection, blockchain provenance, or quantum transforms extends the same location/method taxonomy to new carriers without changing its structure.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The three-way equilibrium is probably only part of the decision: capacity, blindness, and reversibility can change the optimal location and method even when invisibility, robustness, and efficiency weights are fixed, so the framework is best read as a starting point rather than a complete decision procedure.
  • The survey's organization suggests a testable quantitative version: assemble reported PSNR, bit-error rate, and embedding-time measurements and plot surveyed schemes in the equilibrium space to see whether location/method clusters actually separate by application.
  • The real-time gap may be closed by embedding in the compressed domain during encoding, for example in P-frame coefficients, since raw-frame spatial methods would not fit the time budget; this is an extension the paper points to but does not test.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

5 major / 5 minor

Summary. This paper presents a survey of digital video watermarking, organizing the field into watermarking properties (fidelity, blindness, robustness, capacity, time complexity), applications (copyright protection, tampering identification, clandestine communication, traffic analysis, access control), threat models, embedding locations (visual-object level vs. network-flow level), and embedding methods (spatial, DCT, DST, DWT, DFT, SVD, hybrid, and other domains). The stated goal, in the abstract and introduction, is to enable a designer to first define a desired equilibrium among invisibility, robustness, and efficiency and then deduce the best embedding location and method from that balance. The paper compiles a large set of references and provides a useful taxonomy, but the promised decision procedure is never actually specified, and several property definitions contain factual errors.

Significance. If the claimed design framework were actually delivered, the paper would provide a valuable decision aid for practitioners choosing a video watermarking scheme. The survey's strengths include its broad compilation of roughly 170 references, a clear separation between visual-object watermarking and network-flow watermarking (Section 4.2), a systematic threat-model taxonomy (Section 3), and useful discussions of hybrid transform domains (Section 5.2.6) and scalability-aware embedding (Section 4.1.5). However, the central assertion that a property-based equilibrium can determine the best location and method is not substantiated: sections 4 and 5 present taxonomies without a decision rule or worked example, and the efficiency axis is defined inconsistently. The paper is therefore a reasonably organized survey whose main advertised contribution remains unrealized.

major comments (5)
  1. [Section 2.2.1, Correlation Coefficient] The text states: "The higher the correlation is, the more distorted the signal is." This is reversed. The formula C(X, X̂) = cov(X, X̂) / sqrt(var(X) · var(X̂)) is a similarity measure: high correlation means the watermarked signal closely matches the original, i.e., low distortion. Because medium fidelity/invisibility is one of the three axes in the abstract's equilibrium point, this inversion corrupts the metric basis of the proposed framework and must be corrected.
  2. [Section 2.2.6, Time Complexity and BIR] Time complexity is defined as the embedding/extraction delay, but the quantified measure, BIR = (R_X̂ − R_X)/R_X × 100, is a bit-rate overhead, not a runtime measure. The survey never reports actual embedding or extraction times for any scheme in Sections 4 or 5, so the "efficiency" axis of the invisibility/robustness/efficiency equilibrium cannot be instantiated. This conflation also undermines the conclusion's claim that embedding speed is overlooked, since BIR-based studies do not measure speed.
  3. [Abstract and Sections 4-5, 7] The abstract promises that, given an equilibrium among invisibility, robustness, and efficiency, the designer can "deduce the best location of the information embedding as well as the method used to embed it." The body never performs or specifies this deduction. Sections 4 and 5 catalog locations and methods side by side but contain no decision rule, scoring function, or worked example that maps property weights to a recommended scheme. Section 7 merely asserts that the developer "can select a precise location" based on visibility and robustness. The load-bearing claim is therefore unsupported as stated.
  4. [Section 2.2 and Section 2.3] The abstract's equilibrium triad of invisibility, robustness, and efficiency omits other properties that the paper itself identifies as application-dependent: capacity (Section 2.2.5), blindness (Section 2.2.3), and robustness level (fragile vs. semi-fragile vs. robust, Section 2.2.4). For steganography, capacity and undetectability dominate; for access control, reversibility matters; for tamper detection, fragile behavior is decisive. The promised deduction from a three-way equilibrium is therefore incomplete unless these additional properties are folded into the selection procedure.
  5. [Title, Abstract, and Section 7] The title promises a "Review of the State-Of-The-Art," and Section 7 makes an explicit gap claim ("Robust watermark scheme allowing a watermark embedding in a such short time is still to be developed"), but the paper gives no search methodology, inclusion criteria, or coverage analysis. Without this, the completeness of the survey and the real-time gap claim cannot be assessed; notable recent directions such as deep-learning-based watermarking are absent from the reviewed schemes.
minor comments (5)
  1. [Section 4.1.5] The text refers to "the flowchart of Figure 4.1.5"; the referenced figure is numbered Figure 6.
  2. [Section 5.2.4, DFT domain] The sentence "the magnitude yields much more information about the spatial structure of the image" is backwards for image processing; the phase of the Fourier coefficients carries most structural information. This should be corrected to avoid misleading readers about DFT-domain watermarking.
  3. [Section 2.1] Minor typo: "the most important step of the all scheme" should read "of the whole scheme."
  4. [References [81] and [95]] References [81] and [95] appear to cite the same paper by Nakano-Miyatake and Perez-Meana in two different bibliographic forms; please consolidate.
  5. [Section 2.3.3] The terminology "steganography is watermark-oriented" followed by "we define watermarking focused on the medium as carrier signal-oriented" is confusing and appears to reverse the intended distinction; please clarify the definitions.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: this is a literature survey with no fitted parameters or derivations; the abstract's design-procedure promise is unsupported but not circular.

full rationale

The paper is a literature survey and makes no quantitative derivation, so there is no fitted parameter, no input dataset, and no predicted quantity that could reduce to an input by construction. Its organizing claim that a designer can first choose an equilibrium among invisibility, robustness, and efficiency and then deduce embedding location and method is a stated goal rather than a derived result; the body catalogs properties, locations, and methods without connecting them through any equation or decision rule. The fact that Section 2.2.6 defines efficiency via bitrate increase while the conclusion discusses runtime is a weakness in the survey's coverage, not a circular step, because no quantity is predicted from a fitted parameter. Citations are used to attribute surveyed techniques and definitions; none is load-bearing in the sense of being invoked to forbid alternatives or to justify the paper's own claims through a chain of prior work by the same authors. External benchmarks such as Stirmark and standard PSNR/BER definitions appear only as reported evaluation conventions. I therefore find no specific reduction, and per the hard rules the unsupported promise of the abstract is a completeness or correctness concern, not circularity.

Assumptions & free parameters 0 free parameters · 3 assumptions · 0 invented entities

The paper introduces no free parameters and no invented entities. It relies on taxonomic assumptions from prior literature and on the representativeness of the cited works: the five-step lifecycle model, the threat model completeness, and the assumed coverage of the field. These assumptions are load-bearing for the survey's utility.

assumptions (3)
  • domain assumption The five-step watermark lifecycle model (Section 2.1) applies to all watermarking processes.
    The survey organizes the whole paper around this model, but it is presented as a description rather than a proven universal property.
  • domain assumption The reviewed papers are representative of the current state of the art.
    No search methodology or inclusion criteria are given, yet the gap analysis in Section 7 depends on completeness of coverage.
  • domain assumption The threat model taxonomy in Section 3 is complete enough to guide scheme selection.
    The framework tells designers to study the threat model before choosing a scheme, but the paper does not justify that its enumerated attack classes cover all relevant cases.

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Cite this review

Pith. "Pith review of Digital Watermarking of video streams: Review of the State-Of-The-Art." pith.science (2026). https://pith.science/paper/7FQ77U56

@misc{pith2026190802039,
  author       = {Pith},
  title        = {Pith review of: Digital Watermarking of video streams: Review of the State-Of-The-Art},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/7FQ77U56}},
  note         = {Machine review of arXiv:1908.02039}
}
read the original abstract

Digital Watermarking is an extremely wide aspect of information security, either by its applications, by its properties, or by its designs. In particular, a lot of research has been made about video watermarking and it can make it quite difficult to put into perspective the various schemes possible in order to implement a watermarking process for a given application. This paper presents an in-depth overview of the current video watermarking technologies and how they each respond to certain criteria that may be imposed by the aimed application. The goal being in first place to be able to define the desired equilibrium point between invisibility, robustness and efficiency for an application. Then, given this balance, being able to deduce the best location of the information embedding as well as the method used to embed it. The equilibrium point is to be found using the needed properties of the watermark and by studying the threat model that the scheme will have to face. The location describes whether the extra information should be added to the metadata of the video, to its frames or to specific regions of its frames. Finally, the method to embed the watermark refers to the insertion domain and its coefficients to be altered in order to insert the wanted information.

Figures

Figures reproduced from arXiv: 1908.02039 by the authors.

Figure 1
Figure 1. Venn Diagram of main media able to support digital watermarking [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Lifecycles of a watermark threat model that video watermarking has to face. In Section 4, we introduce the main locations where information can be embedded with watermarking. Section 5 especially describes how to embed the watermark when considering video as visual objects. Finally, Section 6 develops how watermarking can be combined with other technologies to provide stronger security. 2 Watermarking Generalities W… view at source ↗
Figure 3
Figure 3. Flow chart describing the general scheme of any watermarking process [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
Figures from the paper (8 more)
Figure 4
Figure 4. Figure 4: Receiver Operating Characteristics, the diagonal being a completely random decider, and the blue having a [PITH_FULL_IMAGE:figures/full_fig_p007_4.png]
Figure 5
Figure 5. Figure 5: Graph of watermarking applications and the fields they can be applied to [PITH_FULL_IMAGE:figures/full_fig_p010_5.png]
Figure 6
Figure 6. Figure 6: Scheme for scalable watermarking defined in [98] [PITH_FULL_IMAGE:figures/full_fig_p017_6.png]
Figure 7
Figure 7. Figure 7: Layers of the TCP/IP protocol stack so on. These protocols have the possibility to add an optional header to the transmitted packet, which is the embedding location of AP channel-based schemes. [112] developed a system for the SSH protocol that generates MAC-like messa…
Figure 8
Figure 8. Figure 8: Headers of the TCP/IP protocols at least one bit of extra information without creating a noticeable difference, which can be really convenient to embed for example a binary image or just a binary sequence representing the embedded data. [115] shows an example of the si…
Figure 9
Figure 9. Figure 9: Discrete Cosine Transform of a 8x8 block [PITH_FULL_IMAGE:figures/full_fig_p020_9.png]
Figure 10
Figure 10. Figure 10: Level 2 Discrete Wavelet Transform of an image [PITH_FULL_IMAGE:figures/full_fig_p022_10.png]
Figure 11
Figure 11. Figure 11: Representation of the magnitudes and phases of a Discrete Fourier Transform of an image [PITH_FULL_IMAGE:figures/full_fig_p023_11.png]

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Reference graph

Works this paper leans on

174 extracted references · 78 canonical work pages

  1. [1]

    Watermarking applications and their properties

    Ingemar J Cox, Matthew L Miller, and Jeffrey A Bloom. Watermarking applications and their properties. In Proceedings International Conference on Information Technology: Coding and Computing (Cat. No. PR00540), pages 6–10. IEEE, 2000

  2. [2]

    Analysis of digital image watermark attacks

    Chunlin Song, Sud Sudirman, Madjid Merabti, and David Llewellyn-Jones. Analysis of digital image watermark attacks. In 2010 7th IEEE Consumer Communications and Networking Conference, pages 1–5. IEEE, 2010

  3. [3]

    Adaptive noise smoothing filter for images with signal-dependent noise

    Darwin T Kuan, Alexander A Sawchuk, Timothy C Strand, and Pierre Chavel. Adaptive noise smoothing filter for images with signal-dependent noise. IEEE Transactions on Pattern Analysis & Machine Intelligence, pages 165–177, 1985

  4. [4]

    A watermark for image integrity and ownership verification

    Ping Wah Wong. A watermark for image integrity and ownership verification. In PICS, pages 374–379, 1998

  5. [5]

    A new lsb-s image steganography method blend with cryptography for secret communication

    Kamaldeep Joshi and Rajkumar Yadav. A new lsb-s image steganography method blend with cryptography for secret communication. In 2015 Third International Conference on Image Information Processing (ICIIP), pages 86–90. IEEE, 2015

  6. [6]

    Robust network-based attack attribution through probabilistic watermarking of packet flows

    Xinyuan Wang, Douglas S Reeves, Peng Ning, and Fang Feng. Robust network-based attack attribution through probabilistic watermarking of packet flows. Technical report, North Carolina State University. Dept. of Computer Science, 2005

  7. [7]

    A survey of digital image watermarking techniques

    Vidyasagar M Potdar, Song Han, and Elizabeth Chang. A survey of digital image watermarking techniques. In INDIN’05. 2005 3rd IEEE International Conference on Industrial Informatics, 2005., pages 709–716. IEEE, 2005

  8. [8]

    A robust video watermarking in motion vectors

    Zina Liu, Huaqing Liang, Xinxin Niu, et al. A robust video watermarking in motion vectors. In Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP’04. 2004., volume 3, pages 2358–2361. IEEE, 2004

Show all 174 references
  1. [9]

    Combined video and audio watermarking: Embedding content information in multimedia data

    Jana Dittmann, Martin Steinebach, Ivica Rimac, Stephan Fischer, and Ralf Steinmetz. Combined video and audio watermarking: Embedding content information in multimedia data. In Security and Watermarking of Multimedia Contents II, volume 3971, pages 455–465. International Societ...

  2. [10]

    Dropwat: an invisible network flow watermark for data exfiltration traceback

    Alfonso Iacovazzi, Sanat Sarda, Daniel Frassinelli, and Yuval Elovici. Dropwat: an invisible network flow watermark for data exfiltration traceback. IEEE Transactions on Information Forensics and Security, 13(5):1139– 1154, 2018

  3. [11]

    Media-independent watermarking classification and the need for combining digital video and audio watermarking for media authentication

    Jana Dittmann, Anirban Mukherjee, and Martin Steinebach. Media-independent watermarking classification and the need for combining digital video and audio watermarking for media authentication. In Proceedings International Conference on Information Technology: Coding and Computi...

  4. [12]

    A new blockchain-based trusted drm scheme for built-in content protection

    Ma Zhaofeng, Huang Weihua, and Gao Hongmin. A new blockchain-based trusted drm scheme for built-in content protection. EURASIP Journal on Image and Video Processing, 2018(1):91, 2018

  5. [13]

    A drift compensated reversible watermarking scheme for h

    Sibaji Gaj, Shuvendu Rana, Arijit Sur, and Prabin Kumar Bora. A drift compensated reversible watermarking scheme for h. 265/hevc. In 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), pages 1–6. IEEE, 2016

  6. [14]

    A security risk for publicly available watermark detectors

    Ton Kalker et al. A security risk for publicly available watermark detectors. InSYMPOSIUM ON INFORMATION THEORY IN THE BENELUX, pages 119–126. Citeseer, 1998. 26 A PREPRINT - AUGUST 26, 2019

  7. [15]

    Watermark detection and extraction using independent component analysis method

    Dan Yu, Farook Sattar, and Kai-Kuang Ma. Watermark detection and extraction using independent component analysis method. EURASIP Journal on Advances in Signal Processing, 2002(1):523219, 2002

  8. [16]

    A dual watermarking technique for images

    Saraju P Mohanty, KR Ramakrishnan, and Mohan Kankanhalli. A dual watermarking technique for images. In Proceedings of the seventh ACM international conference on Multimedia (Part 2), pages 49–51. Citeseer, 1999

  9. [17]

    Blind dual watermarking for color images’ authentication and copyright protection

    Xiao-Long Liu, Chia-Chen Lin, and Shyan-Ming Yuan. Blind dual watermarking for color images’ authentication and copyright protection. IEEE Transactions on Circuits and Systems for Video Technology, 28(5):1047–1055, 2018

  10. [18]

    Properties of digital image watermarking

    Mohammad Abdullatif, Akram M Zeki, Jalel Chebil, and Teddy Surya Gunawan. Properties of digital image watermarking. In 2013 IEEE 9th international colloquium on signal processing and its applications , pages 235–240. IEEE, 2013

  11. [19]

    On the properties of non-media digital watermarking: a review of state of the art techniques

    Arezou Soltani Panah, Ron Van Schyndel, Timos Sellis, and Elisa Bertino. On the properties of non-media digital watermarking: a review of state of the art techniques. IEEE Access, 4:2670–2704, 2016

  12. [20]

    An efficient framework for compressed domain watermarking in p frames of high-efficiency video coding (hevc)–encoded video

    Tanima Dutta and Hari Prabhat Gupta. An efficient framework for compressed domain watermarking in p frames of high-efficiency video coding (hevc)–encoded video. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 13(1):12, 2017

  13. [21]

    Fair benchmark for image watermarking systems

    Martin Kutter and Fabien AP Petitcolas. Fair benchmark for image watermarking systems. In Security and Watermarking of Multimedia Contents , volume 3657, pages 226–240. International Society for Optics and Photonics, 1999

  14. [22]

    Elements of information theory, second edition

    Thomas M Cover. Elements of information theory, second edition

  15. [23]

    Mean squared error of empirical predictor

    Kalyan Das, Jiming Jiang, JNK Rao, et al. Mean squared error of empirical predictor. The Annals of Statistics, 32(2):818–840, 2004

  16. [24]

    The correlation coefficient: An overview.Critical reviews in analytical chemistry, 36(1):41–59, 2006

    AG Asuero, A Sayago, and AG Gonzalez. The correlation coefficient: An overview.Critical reviews in analytical chemistry, 36(1):41–59, 2006

  17. [25]

    Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment

    Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P Gummadi. Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment. In Proceedings of the 26th International Conference on World Wide Web, pages 1171–...

  18. [26]

    Combining predictors for classification using the area under the receiver operating characteristic curve

    Margaret Sullivan Pepe, Tianxi Cai, and Gary Longton. Combining predictors for classification using the area under the receiver operating characteristic curve. Biometrics, 62(1):221–229, 2006

  19. [27]

    A robust public watermark for halftone images

    Ming Sun Fu and Oscar C Au. A robust public watermark for halftone images. In 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No. 02CH37353), volume 3, pages III–III. IEEE, 2002

  20. [28]

    Comparison of video copy detection techniques: The robustness against distortion and attacking

    Wei-Lun Chao. Comparison of video copy detection techniques: The robustness against distortion and attacking. Technical Paper, Graduate Institute of Communication Engineering, National Taiwan University, 2009

  21. [29]

    P. H. W. Wong and O. C. Au. A novel semi-private watermarking technique. In 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), volume 3, pages III–III, May 2002

  22. [30]

    Key independent watermark detection

    Ron G Van Schyndel, Andrew Z Tirkel, and Imants D Svalbe. Key independent watermark detection. In Proceedings IEEE International Conference on Multimedia Computing and Systems, volume 1, pages 580–585. ieee, 1999

  23. [31]

    A new data hiding method for h.265/hevc video streams without intra-frame distortion drift

    Yunxia Liu, Shuyang Liu, Hongguo Zhao, and Si Liu. A new data hiding method for h.265/hevc video streams without intra-frame distortion drift. Multimedia Tools and Applications, Jul 2018

  24. [32]

    Ahmed and S

    F. Ahmed and S. My. A hybrid- watermarking scheme for asymmetric and symmetric watermark extraction. In 2005 Pakistan Section Multitopic Conference, pages 1–6, Dec 2005

  25. [33]

    Fabien A. P. Petitcolas. Kerckhoffs’ Principle, pages 675–675. Springer US, Boston, MA, 2011

  26. [34]

    Fragile image watermarking with pixel-wise recovery based on overlapping embedding strategy

    Chuan Qin, Ping Ji, Xinpeng Zhang, Jing Dong, and Jinwei Wang. Fragile image watermarking with pixel-wise recovery based on overlapping embedding strategy. Signal Processing, 138:280–293, 2017

  27. [35]

    Gagandeep Kaur, Singara Singh Kasana, and M. K. Sharma. An efficient authentication scheme for high efficiency video coding/h.265. Multimedia Tools and Applications, Mar 2019

  28. [36]

    Robust and blind watermarking technique in dct domain using inter-block coefficient differencing

    Shabir A Parah, Javaid A Sheikh, Nazir A Loan, and Ghulam M Bhat. Robust and blind watermarking technique in dct domain using inter-block coefficient differencing. Digital Signal Processing, 53:11–24, 2016

  29. [37]

    Fabien A. P. Petitcolas, Ross J. Anderson, and Markus G. Kuhn. Attacks on copyright marking systems. Information Hiding Lecture Notes in Computer Science, page 218–238, 1998. 27 A PREPRINT - AUGUST 26, 2019

  30. [38]

    Petitcolas

    F.a.p. Petitcolas. Watermarking schemes evaluation. IEEE Signal Processing Magazine, 17(5):58–64, 2000

  31. [39]

    Principles of information security

    Michael E Whitman and Herbert J Mattord. Principles of information security. Cengage Learning, 2011

  32. [40]

    Multimedia watermarking techniques

    Frank Hartung and Martin Kutter. Multimedia watermarking techniques. Proceedings of the IEEE, 87(7):1079– 1107, 1999

  33. [41]

    Digital music distribution and audio watermarking

    Steve Czerwinski, Richard Fromm, and Todd Hodes. Digital music distribution and audio watermarking. UCB IS, 219, 2007

  34. [42]

    Watermarking software in practical applications

    P Lipi ´nski. Watermarking software in practical applications. Bulletin of the Polish Academy of Sciences: Technical Sciences, 59(1):21–25, 2011

  35. [43]

    Watermarking 2d-vector data for geographical information systems

    Michael V oigt and Christoph Busch. Watermarking 2d-vector data for geographical information systems. In Security and Watermarking of Multimedia Contents IV, volume 4675, pages 621–629. International Society for Optics and Photonics, 2002

  36. [44]

    M H. M. Schellekens. Digital watermarks as legal evidence. Digital Evidence and Electronic Signature Law Review, 8, 01 2014

  37. [45]

    A cryptographic checksum for integrity protection

    Fred Cohen. A cryptographic checksum for integrity protection. Computers & Security, 6(6):505–510, 1987

  38. [46]

    A novel tree based method for data hiding and integrity in medical images

    R Sreejith and S Senthil. A novel tree based method for data hiding and integrity in medical images. In 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE), pages 1–4. IEEE, 2017

  39. [47]

    The prisoners’ problem and the subliminal channel

    Gustavus J Simmons. The prisoners’ problem and the subliminal channel. In Advances in Cryptology, pages 51–67. Springer, 1984

  40. [48]

    Message in a bottle: Sailing past censorship

    Luca Invernizzi, Christopher Kruegel, and Giovanni Vigna. Message in a bottle: Sailing past censorship. In Proceedings of the 29th Annual Computer Security Applications Conference, pages 39–48. ACM, 2013

  41. [49]

    Advanced persistent threats and how to monitor and deter them.Network security, 2011(8):16–19, 2011

    Colin Tankard. Advanced persistent threats and how to monitor and deter them.Network security, 2011(8):16–19, 2011

  42. [50]

    Digital watermarking, volume 53

    Ingemar J Cox, Matthew L Miller, Jeffrey Adam Bloom, and Chris Honsinger. Digital watermarking, volume 53. Springer, 2002

  43. [51]

    Watermark based access control to copyrighted content

    Rade Petrovic and Venkatraman Atti. Watermark based access control to copyrighted content. In 2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS), volume 1, pages 315–322. IEEE, 2013

  44. [52]

    Digital communications, volume 2

    Bernard Sklar. Digital communications, volume 2. Prentice hall Upper Saddle River, NJ, USA:, 2001

  45. [53]

    Computer Networking: Principles, Protocols and Practice

    Olivier Bonaventure et al. Computer Networking: Principles, Protocols and Practice. Citeseer, 2011

  46. [54]

    Digital video processing

    A Murat Tekalp. Digital video processing. Prentice Hall Press, 2015

  47. [55]

    Digital video transcoding

    Jun Xin, Chia-Wen Lin, and Ming-Ting Sun. Digital video transcoding. Proceedings of the IEEE, 93(1):84–97, 2005

  48. [56]

    Removing rain from single images via a deep detail network

    Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, and John Paisley. Removing rain from single images via a deep detail network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3855–3863, 2017

  49. [57]

    New attacks on timing-based network flow watermarks

    Zi Lin and Nicholas Hopper. New attacks on timing-based network flow watermarks. In Presented as part of the 21st{USENIX} Security Symposium ({USENIX} Security 12), pages 381–396, 2012

  50. [58]

    On the effectiveness of visible watermarks

    Tali Dekel, Michael Rubinstein, Ce Liu, and William T Freeman. On the effectiveness of visible watermarks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 2146–2154, 2017

  51. [59]

    Watermark copy attack

    Martin Kutter, Sviatoslav V V oloshynovskiy, and Alexander Herrigel. Watermark copy attack. InSecurity and Watermarking of Multimedia Contents II, volume 3971, pages 371–381. International Society for Optics and Photonics, 2000

  52. [60]

    Spread spectrum watermarking: Malicious attacks and counterattacks

    Frank H Hartung, Jonathan K Su, and Bernd Girod. Spread spectrum watermarking: Malicious attacks and counterattacks. In Security and Watermarking of Multimedia Contents , volume 3657, pages 147–159. International Society for Optics and Photonics, 1999

  53. [61]

    On the invertibility of invisible watermark- ing techniques

    Scott Craver, Nasir Memon, Boon-Lock Yeo, and Minerva M Yeung. On the invertibility of invisible watermark- ing techniques. In Proceedings of International Conference on Image Processing, volume 1, pages 540–543. IEEE, 1997

  54. [62]

    False watermark extraction and re-watermarking issues with image watermarking techniques

    Neha Singh, Sandeep Joshi, and Shilpi Birla. False watermark extraction and re-watermarking issues with image watermarking techniques. Indian Journal of Science and Technology, 10:7, 2017. 28 A PREPRINT - AUGUST 26, 2019

  55. [63]

    Digital watermarking techniques and security issues in the information and communication society

    Jordi Nin and Sergio Ricciardi. Digital watermarking techniques and security issues in the information and communication society. In 2013 27th International Conference on Advanced Information Networking and Applications Workshops, pages 1553–1558. IEEE, 2013

  56. [64]

    Dsss-based flow marking technique for invisible traceback

    Wei Yu, Xinwen Fu, Steve Graham, Dong Xuan, and Wei Zhao. Dsss-based flow marking technique for invisible traceback. In 2007 IEEE Symposium on Security and Privacy (SP’07), pages 18–32. IEEE, 2007

  57. [65]

    Blind detection attack resistant image watermarking

    Bharat Singh, VS Dhaka, and Ravi Saharan. Blind detection attack resistant image watermarking. In 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE), pages 289–293. Ieee, 2014

  58. [66]

    Blind detection of spread spectrum flow watermarks

    Weijia Jia, Fung Po Tso, Zhen Ling, Xinwen Fu, Dong Xuan, and Wei Yu. Blind detection of spread spectrum flow watermarks. Security and Communication Networks, 6(3):257–274, 2013

  59. [67]

    A covert timing channel based on fountain codes

    Rennie Archibald and Dipak Ghosal. A covert timing channel based on fountain codes. In 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, pages 970–977. IEEE, 2012

  60. [68]

    Design and Detection of Covert Communication: Timing Channels and Application Tunneling

    Dipak Ghosal. Design and Detection of Covert Communication: Timing Channels and Application Tunneling. PhD thesis, University of California, Davis, 2013

  61. [69]

    A study on the collusion security of lut-based client-side watermark embedding

    Yuan-Gen Wang, Dongqing Xie, and Brij B Gupta. A study on the collusion security of lut-based client-side watermark embedding. IEEE Access, 6:15816–15822, 2018

  62. [70]

    Fraternal twins: Unifying attacks on machine learning and digital watermarking

    Erwin Quiring, Daniel Arp, and Konrad Rieck. Fraternal twins: Unifying attacks on machine learning and digital watermarking. arXiv preprint arXiv:1703.05561, 2017

  63. [71]

    Forgotten siblings: Unifying attacks on machine learning and digital watermarking

    Erwin Quiring, Daniel Arp, and Konrad Rieck. Forgotten siblings: Unifying attacks on machine learning and digital watermarking. In 2018 IEEE European Symposium on Security and Privacy (EuroS&P), pages 488–502. IEEE, 2018

  64. [72]

    Zhang and S

    X. Zhang and S. Wang. Watermarking scheme capable of resisting sensitivity attack. IEEE Signal Processing Letters, 14(2):125–128, Feb 2007

  65. [73]

    Adversarial machine learning against digital watermarking

    Erwin Quiring and Konrad Rieck. Adversarial machine learning against digital watermarking. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 519–523. IEEE, 2018

  66. [74]

    A pseudo-zernike moment based audio watermarking scheme robust against desynchronization attacks

    Xiang-Yang Wang, Tian-Xiao Ma, and Pan-Pan Niu. A pseudo-zernike moment based audio watermarking scheme robust against desynchronization attacks. Computers & Electrical Engineering, 37(4):425 – 443, 2011

  67. [75]

    Information hiding-a survey

    Fabien AP Petitcolas, Ross J Anderson, and Markus G Kuhn. Information hiding-a survey. Proceedings of the IEEE, 87(7):1062–1078, 1999

  68. [76]

    An overview of attacks against digital watermarking and their respective countermeasures

    Maryam Tanha, Seyed Dawood Sajjadi Torshizi, Mohd Taufik Abdullah, and Fazirulhisyam Hashim. An overview of attacks against digital watermarking and their respective countermeasures. In Proceedings Title: 2012 International Conference on Cyber Security, Cyber Warfare and Digita...

  69. [77]

    Study of possible attacks on image and video watermark

    PS Venugopala, Shravya Jain, H Sarojadevi, and Niranjan N Chiplunkar. Study of possible attacks on image and video watermark. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pages 3505–3510. IEEE, 2016

  70. [78]

    Human visual system features enabling watermarking

    Jean-François Delaigle, Christophe Devleeschouwer, Benoit Macq, and L Langendijk. Human visual system features enabling watermarking. In Proceedings. IEEE International Conference on Multimedia and Expo , volume 2, pages 489–492. IEEE, 2002

  71. [79]

    Standard rgb color spaces

    Sabine Süsstrunk, Robert Buckley, and Steve Swen. Standard rgb color spaces. InColor and Imaging Conference, volume 1999, pages 127–134. Society for Imaging Science and Technology, 1999

  72. [80]

    Robust and invisible image watermarking in rgb color space using svd

    D Vaishnavi and TS Subashini. Robust and invisible image watermarking in rgb color space using svd. Procedia Computer Science, 46:1770–1777, 2015

  73. [81]

    Video watermarking technique using visual sensibility and motion vector

    Mariko Nakano-Miyatake and Hector Perez-Meana. Video watermarking technique using visual sensibility and motion vector. In Visual Servoing. IntechOpen, 2010

  74. [82]

    A digital video watermarking technique based on identical frame extraction in 3-level dwt

    Tamanna Tabassum and SM Mohidul Islam. A digital video watermarking technique based on identical frame extraction in 3-level dwt. In 2012 15th International Conference on Computer and Information Technology (ICCIT), pages 101–106. IEEE, 2012

  75. [83]

    Fuzzy based invisible watermarking

    T Rvijaya Lakshmi. Fuzzy based invisible watermarking. International Journal of Advanced Research in Computer Science, 8(7), 2017

  76. [84]

    Jadhav and M

    A. Jadhav and M. Kolhekar. Digital watermarking in video for copyright protection. In 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies, pages 140–144, Jan 2014. 29 A PREPRINT - AUGUST 26, 2019

  77. [85]

    A semi-blind hvs based image watermarking scheme using elliptic curve cryptography

    Ritu Gupta, Anurag Mishra, and Sarika Jain. A semi-blind hvs based image watermarking scheme using elliptic curve cryptography. Multimedia Tools and Applications, 77(15):19235–19260, 2018

  78. [86]

    Video watermarking algorithm for h

    Jianfeng Lu, Li Li, and Zhenhua Yang. Video watermarking algorithm for h. 264 scalable video coding. KSII Transactions on Internet & Information Systems, 7(1), 2013

  79. [87]

    Adaptive image watermarking scheme based on visual masking

    Jiwu Huang and Yun Q Shi. Adaptive image watermarking scheme based on visual masking. Electronics letters, 34(8):748–750, 1998

  80. [88]

    A semi blind dwt-svd video watermarking

    Divjot Kaur Thind and Sonika Jindal. A semi blind dwt-svd video watermarking. Procedia Computer Science, 46:1661 – 1667, 2015. Proceedings of the International Conference on Information and Communication Technologies, ICICT 2014, 3-5 December 2014 at Bolgatty Palace & Island R...

  81. [89]

    Real-time watermarking algorithm of h

    Lotfi Abdi, Faten Ben Abdallah, and Aref Meddeb. Real-time watermarking algorithm of h. 264/avc video stream. International Arab Journal of Information Technology (IAJIT), 14(2), 2017

  82. [90]

    Video watermark technique in motion vector

    Jun Zhang, Jiegu Li, and Ling Zhang. Video watermark technique in motion vector. InProceedings XIV Brazilian Symposium on Computer Graphics and Image Processing, pages 179–182. IEEE, 2001

  83. [91]

    A low complexity video watermarking in h

    Azadeh Mansouri, Ahmad Mahmoudi Aznaveh, Farah Torkamani-Azar, and Fatih Kurugollu. A low complexity video watermarking in h. 264 compressed domain. IEEE Transactions on Information Forensics and Security, 5(4):649–657, 2010

  84. [92]

    An empirical study of secure mpeg video transmissions

    Iskender Agi and Li Gong. An empirical study of secure mpeg video transmissions. In Proceedings of Internet Society Symposium on Network and Distributed Systems Security, pages 137–144. IEEE, 1996

  85. [93]

    A video watermarking drm method based on h

    Zhaofeng Ma, Jianqing Huang, Ming Jiang, and Xinxin Niu. A video watermarking drm method based on h. 264 compressed domain with low bit-rate increasement. Chinese Journal of Electronics, 25(4):641–647, 2016

  86. [94]

    A 3-d video watermark embedding technology in dct-cs domain

    Longfei Cai, Huimin Zhao, Jun Cai, and Li Zhu. A 3-d video watermark embedding technology in dct-cs domain. International Journal of Machine Learning and Computing, 5:206–213, 06 2015

  87. [95]

    Video watermarking technique using visual sensibility and motion vector

    Mariko Nakano-Miyatake and Hector Perez-Meana. Video watermarking technique using visual sensibility and motion vector. In Rong-Fong Fung, editor, Visual Servoing, chapter 10. IntechOpen, Rijeka, 2010

  88. [96]

    Overview of the scalable video coding extension of the h

    Heiko Schwarz, Detlev Marpe, and Thomas Wiegand. Overview of the scalable video coding extension of the h. 264/avc standard. To appear in IEEE Transactions on Circuits and Systems for Video Technology, page 1, 2007

  89. [97]

    Mpeg-2 video test model 5

    Test Model Editing Committee et al. Mpeg-2 video test model 5. ISO/IEC JTC1/SC29/WG11 Doc N, 400, 1993

  90. [98]

    Hvs-based scalable video watermarking

    Mehran Deljavan Amiri, Ali Amiri, and Majid Meghdadi. Hvs-based scalable video watermarking. Multimedia Systems, pages 1–19, 2019

  91. [99]

    Scalable watermark extraction for real-time authentication of jpeg 2000 images

    Charith Abhayaratne and Deepayan Bhowmik. Scalable watermark extraction for real-time authentication of jpeg 2000 images. Journal of real-time image processing, 8(3):307–325, 2013

  92. [100]

    TCP/IP protocol suite

    Behrouz A Forouzan. TCP/IP protocol suite. McGraw-Hill, Inc., 2002

  93. [101]

    Digital watermarking of text, image, and video documents

    Jonathan K Su, Frank Hartung, and Bernd Girod. Digital watermarking of text, image, and video documents. Computers & Graphics, 22(6):687–695, 1998

  94. [102]

    Physical layer watermarking of direct sequence spread spectrum signals

    Xiang Li, Chansu Yu, Murad Hizlan, Won-Tae Kim, and Seungmin Park. Physical layer watermarking of direct sequence spread spectrum signals. In MILCOM 2013-2013 IEEE Military Communications Conference, pages 476–481. IEEE, 2013

  95. [103]

    Practical internet steganography: data hiding in ip

    Deepa Kundur and Kamran Ahsan. Practical internet steganography: data hiding in ip. Proc. Texas wksp. security of information systems, 2003

  96. [104]

    Covert channels in the ip time to live field

    Sebastian Zander, Grenville Armitage, and Philip Branch. Covert channels in the ip time to live field. 2006

  97. [105]

    Secure network steganographic scheme exploiting tcp sequence numbers

    Vengala Satish Kumar, Tanima Dutta, Arijit Sur, and Sukumar Nandi. Secure network steganographic scheme exploiting tcp sequence numbers. In International Conference on Network Security and Applications, pages 281–291. Springer, 2011

  98. [106]

    Trends toward real-time network data steganography

    James Collins and Sos Agaian. Trends toward real-time network data steganography. arXiv preprint arXiv:1604.02778, 2016

  99. [107]

    Network flow watermarking: A survey

    Alfonso Iacovazzi and Yuval Elovici. Network flow watermarking: A survey. IEEE Communications Surveys & Tutorials, 19(1):512–530, 2016

  100. [108]

    Rainbow: A robust and invisible non-blind watermark for network flows

    Amir Houmansadr, Negar Kiyavash, and Nikita Borisov. Rainbow: A robust and invisible non-blind watermark for network flows. In NDSS, 2009

  101. [109]

    Youskyde: information hiding for skype video traffic

    Wojciech Mazurczyk, Maciej Kara ´s, Krzysztof Szczypiorski, and Artur Janicki. Youskyde: information hiding for skype video traffic. Multimedia Tools and Applications, 75(21):13521–13540, Nov 2016. 30 A PREPRINT - AUGUST 26, 2019

  102. [110]

    Tcp covert timing channels: Design and detection

    Xiapu Luo, Edmond WW Chan, and Rocky KC Chang. Tcp covert timing channels: Design and detection. In 2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC (DSN), pages 420–429. IEEE, 2008

  103. [111]

    Requirements for internet hosts-application and support

    Robert Braden. Requirements for internet hosts-application and support. Technical report, 1989

  104. [112]

    Syntax and semantics-preserving application-layer protocol steganography

    Norka B Lucena, James Pease, Payman Yadollahpour, and Steve J Chapin. Syntax and semantics-preserving application-layer protocol steganography. In International Workshop on Information Hiding, pages 164–179. Springer, 2004

  105. [113]

    Steganography of hypertext transfer protocol version 2 (http/2)

    Biljana Dimitrova and Aleksandra Mileva. Steganography of hypertext transfer protocol version 2 (http/2). Journal of Computer and Communications, 5:98–111, 2017

  106. [114]

    On the Move to Meaningful Internet Systems

    Wojciech Mazurczyk and Krzysztof Szczypiorski. Steganography of voip streams. In OTM Confederated International Conferences" On the Move to Meaningful Internet Systems", pages 1001–1018. Springer, 2008

  107. [115]

    Image steganography and visible watermarking using lsb extraction technique

    Santhoshi Bhatt, Arghya Ray, Avishake Ghosh, and Ananya Ray. Image steganography and visible watermarking using lsb extraction technique. In 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO), pages 1–6. IEEE, 2015

  108. [116]

    Video watermarking by adjusting the pixel values and using scene change detection

    PS Venugopala, H Sarojadevi, Niranjan N Chiplunkar, and Vani Bhat. Video watermarking by adjusting the pixel values and using scene change detection. In 2014 Fifth International Conference on Signal and Image Processing, pages 259–264. IEEE, 2014

  109. [117]

    Video watermark application for embedding recipient id in real-time-encoding vod server

    Takaaki Yamada, Michiro Maeta, and Fuminori Mizushima. Video watermark application for embedding recipient id in real-time-encoding vod server. Journal of Real-Time Image Processing, 11(1):211–222, 2016

  110. [118]

    Robust image watermarking in the spatial domain

    Nikos Nikolaidis and Ioannis Pitas. Robust image watermarking in the spatial domain. Signal processing, 66(3):385–403, 1998

  111. [119]

    Feature based watermarking using watermark template match

    Wei Lu, Hongtao Lu, and Fu-Lai Chung. Feature based watermarking using watermark template match. Applied Mathematics and Computation, 177(1):377–386, 2006

  112. [120]

    Novel reversible watermarking scheme for authentication of military images

    Govindarajan Yamuna and Dakshinamurthi Sivakumar. Novel reversible watermarking scheme for authentication of military images. International Journal of Signal and Imaging Systems Engineering, 2(3):134–140, 2009

  113. [121]

    Discrete-time signal processing

    Alan V Oppenheim. Discrete-time signal processing. Pearson Education India, 1999

  114. [122]

    A watermarking technique based on the frequency domain

    Huang-Chi Chen, Yu-Wen Chang, and Rey-Chue Hwang. A watermarking technique based on the frequency domain. journal of multimedia, 7(1):82, 2012

  115. [123]

    Image compression and discrete cosine transform, college of redwoods, 2008

    Ken Cabeen and Peter Gent. Image compression and discrete cosine transform, college of redwoods, 2008

  116. [124]

    Object based watermarking for h

    Sibaji Gaj, Ashish Singh Patel, and Arijit Sur. Object based watermarking for h. 264/avc video resistant to rst attacks. Multimedia Tools and Applications, 75(6):3053–3080, 2016

  117. [125]

    Real time implementation of digital watermarking algorithm for image and video application

    Amit Joshi, Vivekanand Mishra, and RM Patrikar. Real time implementation of digital watermarking algorithm for image and video application. In Watermarking-Volume 2. IntechOpen, 2012

  118. [126]

    Toward a better understanding of dct coefficients in watermarking

    Jun Xiao and Ying Wang. Toward a better understanding of dct coefficients in watermarking. In 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, volume 2, pages 206–209. IEEE, 2008

  119. [127]

    Image watermarking based on dc component in dct

    Gaorong Zeng and Zhengding Qiu. Image watermarking based on dc component in dct. In 2008 International Symposium on Intelligent Information Technology Application Workshops, pages 573–576. IEEE, 2008

  120. [128]

    Digital video watermarking in p-frames with controlled video bit-rate increase

    Maneli Noorkami and Russell M Mersereau. Digital video watermarking in p-frames with controlled video bit-rate increase. IEEE transactions on information forensics and security, 3(3):441–455, 2008

  121. [129]

    Dc-ac coefficients based multiple watermarking technique

    Mehul S Raval. Dc-ac coefficients based multiple watermarking technique. In 2009 Annual IEEE India Conference, pages 1–4. IEEE, 2009

  122. [130]

    A novel algorithm for robust audio watermarking based on quantification dct domain

    Zhiping Zhou and Lihua Zhou. A novel algorithm for robust audio watermarking based on quantification dct domain. In Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), volume 1, pages 441–444. IEEE, 2007

  123. [131]

    Robust video watermarking of h

    Jing Zhang, Anthony TS Ho, Gang Qiu, and Pina Marziliano. Robust video watermarking of h. 264/avc. IEEE Transactions on Circuits and Systems II: Express Briefs, 54(2):205–209, 2007

  124. [132]

    A novel watermarking scheme for h

    Dawen Xu, Rangding Wang, and Jicheng Wang. A novel watermarking scheme for h. 264/avc video authentica- tion. Signal Processing: Image Communication, 26(6):267–279, 2011

  125. [133]

    Design of real-time video watermarking based on integer dct for h

    Amit M Joshi, Vivekanand Mishra, and RM Patrikar. Design of real-time video watermarking based on integer dct for h. 264 encoder. International Journal of Electronics, 102(1):141–155, 2015. 31 A PREPRINT - AUGUST 26, 2019

  126. [134]

    Secure and robust digital image watermarking scheme using logistic and rsa encryption

    Yang Liu, Shanyu Tang, Ran Liu, Liping Zhang, and Zhao Ma. Secure and robust digital image watermarking scheme using logistic and rsa encryption. Expert Systems with Applications, 97:95 – 105, 2018

  127. [135]

    Discrete wavelet transform for image processing

    Dipalee Gupta and Siddhartha Choubey. Discrete wavelet transform for image processing. International Journal of Emerging Technology and Advanced Engineering, 4(3):598–602, 2015

  128. [136]

    Barni, F

    M. Barni, F. Bartolini, and A. Piva. Improved wavelet-based watermarking through pixel-wise masking. IEEE Transactions on Image Processing, 10(5):783–791, May 2001

  129. [137]

    C. Pun. A novel dft-based digital watermarking system for images. In 2006 8th international Conference on Signal Processing, volume 2, Nov 2006

  130. [138]

    Digital watermarking in the fractional fourier transformation domain

    Igor Djurovic, Srdjan Stankovic, and Ioannis Pitas. Digital watermarking in the fractional fourier transformation domain. Journal of Network and Computer Applications, 24(2):167 – 173, 2001

  131. [139]

    Urvoy, D

    M. Urvoy, D. Goudia, and F. Autrusseau. Perceptual dft watermarking with improved detection and robustness to geometrical distortions. IEEE Transactions on Information Forensics and Security, 9(7):1108–1119, July 2014

  132. [140]

    A new video watermarking algorithm based on 1d dft and radon transform

    Yan Liu and Jiying Zhao. A new video watermarking algorithm based on 1d dft and radon transform. Signal Processing, 90(2):626 – 639, 2010

  133. [141]

    O’Ruanaidh Thierry Pun Frederic Deguillaume, Gabriela Csurka

    Joseph J.K. O’Ruanaidh Thierry Pun Frederic Deguillaume, Gabriela Csurka. Robust 3d dft video watermarking, 1999

  134. [142]

    A robust blind color image watermarking in quaternion fourier transform domain

    xiang yang Wang, Chunpeng Wang, Hong-ying Yang, and Pan-pan Niu. A robust blind color image watermarking in quaternion fourier transform domain. Journal of Systems and Software, 86:255–277, 02 2013

  135. [143]

    Svd based image processing applications: state of the art, contributions and research challenges

    Rowayda A Sadek. Svd based image processing applications: state of the art, contributions and research challenges. arXiv preprint arXiv:1211.7102, 2012

  136. [144]

    An svd-based watermarking scheme for protecting rightful ownership

    Ruizhen Liu and Tieniu Tan. An svd-based watermarking scheme for protecting rightful ownership. IEEE Transactions on Multimedia, 4(1):121–128, March 2002

  137. [145]

    On svd-based watermarking algorithm

    Kuo-Liang Chung, Wei-Ning Yang, Yong-Huai Huang, Shih-Tung Wu, and Yu-Chiao Hsu. On svd-based watermarking algorithm. Applied Mathematics and Computation, 188(1):54 – 57, 2007

  138. [146]

    Eskicioglu

    Emir Ganic and Ahmet M. Eskicioglu. Robust dwt-svd domain image watermarking: embedding data in all frequencies. pages 166–174, 01 2004

  139. [147]

    Digital watermarking based on dwt (discrete wavelet transform) and dct (discrete cosine transform)

    Nawaf Hazim, Zaid Saeb, and Khaldoun L Hameed. Digital watermarking based on dwt (discrete wavelet transform) and dct (discrete cosine transform). 7:4825–4829, 02 2019

  140. [148]

    A novel hybrid dct and dwt based robust watermarking algorithm for color images

    Ahmed Khaleel Abdulrahman and Serkan Ozturk. A novel hybrid dct and dwt based robust watermarking algorithm for color images. Multimedia Tools and Applications, Jan 2019

  141. [149]

    Robust and secure multiple watermarking for medical images

    Abhilasha Sharma, Amit Kumar Singh, and Satya Prakash Ghrera. Robust and secure multiple watermarking for medical images. Wireless Personal Communications, 92(4):1611–1624, 2017

  142. [150]

    A digital watermarking algorithm based on dct and dwt

    Mei Jiansheng, Li Sukang, and Tan Xiaomei. A digital watermarking algorithm based on dct and dwt. 01 2009

  143. [151]

    A proposed secure multiple watermarking technique based on dwt, dct and svd for application in medicine

    Aditi Zear, Amit Kumar Singh, and Pardeep Kumar. A proposed secure multiple watermarking technique based on dwt, dct and svd for application in medicine. Multimedia Tools and Applications, 77(4):4863–4882, Feb 2018

  144. [152]

    Watermarking in image using slantlet transform

    Iman M.G.Alwan. Watermarking in image using slantlet transform. Baghdad journal for science, 52:225–230, 01 2011

  145. [153]

    R. T. Mohammed and B. E. Khoo. Image watermarking using slantlet transform. In 2012 IEEE Symposium on Industrial Electronics and Applications, pages 281–286, Sep. 2012

  146. [154]

    Ahmaderaghi, F

    B. Ahmaderaghi, F. Kurugollu, J. M. D. Rincon, and A. Bouridane. Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory. IEEE Transactions on Computational Imaging, 4(1):46–59, March 2018

  147. [155]

    Dual video watermarking algorithm based on sift and hvs in the contourlet domain

    Zhi Li, Shu qin Chen, and Xin Yu Cheng. Dual video watermarking algorithm based on sift and hvs in the contourlet domain. IEEE Access, 2019

  148. [156]

    Imperceptible 3d video watermarking technique based on scene change detection

    Jumana Waleed, Saad Abid, and Taha Hasan. Imperceptible 3d video watermarking technique based on scene change detection. International Journal of Advanced Science and Technology, 82:11–22, 09 2015

  149. [157]

    X. Li, Y . Wang, Q. Wang, S. Kim, and X. Zhou. Copyright protection for holographic video using spatiotemporal consistent embedding strategy. IEEE Transactions on Industrial Informatics, pages 1–1, 2019

  150. [158]

    Communication security: An introduction to cryptography

    Serge Vaudenay. Communication security: An introduction to cryptography. Course notes, 2005, 2004. 32 A PREPRINT - AUGUST 26, 2019

  151. [159]

    Abdallah, Osama S

    Hanaa A. Abdallah, Osama S. Faragallah, Hala S. Elsayed, Mohiy M. hadhoud, Abdalhameed A. Shaalan, and Fathi E. Abd El-samie. Robust image watermarking method using homomorphic block-based klt. Optik, 127(4):2374 – 2381, 2016

  152. [160]

    Secure watermarking scheme against watermark attacks in the encrypted domain

    Jianting Guo, Peijia Zheng, and Jiwu Huang. Secure watermarking scheme against watermark attacks in the encrypted domain. Journal of Visual Communication and Image Representation, 30:125–135, 2015

  153. [161]

    A time-efficient optimization for robust image watermarking using machine learning

    Assem Mahmoud Abdelhakim and Mai Abdelhakim. A time-efficient optimization for robust image watermarking using machine learning. Expert Systems with Applications, 100:197 – 210, 2018

  154. [162]

    Quiring and K

    E. Quiring and K. Rieck. Adversarial machine learning against digital watermarking. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 519–523, Sep. 2018

  155. [163]

    Fractal block coding of images

    Donald M Monro and Frank Dudbridge. Fractal block coding of images. Electronics letters, 28(11):1053–1055, 1992

  156. [164]

    Digital watermarking using fractal coding

    Rama Seshagiri Rao Channapragada and Munaga VNK Prasad. Digital watermarking using fractal coding. In Advances in Signal Processing and Intelligent Recognition Systems, pages 109–118. Springer, 2016

  157. [165]

    A multi-purpose digital image watermarking using fractal block coding

    Soheila Kiani and Mohsen Ebrahimi Moghaddam. A multi-purpose digital image watermarking using fractal block coding. Journal of Systems and Software, 84(9):1550 – 1562, 2011. Selected papers from the 2009 Joint Working IEEE/IFIP Conference on Software Architecture & European Co...

  158. [166]

    Fractal image coding with digital watermarks

    Candik M, Dusan Levicky, and Klenovicova Z. Fractal image coding with digital watermarks. Radioengineering, 9, 01 2000

  159. [167]

    A novel lsb based quantum watermarking

    Shahrokh Heidari and Mosayeb Naseri. A novel lsb based quantum watermarking. International Journal of Theoretical Physics, 55(10):4205–4218, Oct 2016

  160. [168]

    A watermark strategy for quantum images based on quantum fourier transform

    Wei-Wei Zhang, Fei Gao, Bin Liu, Qiao-Yan Wen, and Hui Chen. A watermark strategy for quantum images based on quantum fourier transform. Quantum Information Processing, 12(2):793–803, Feb 2013

  161. [169]

    Analysis and improvement of the dynamic watermarking scheme for quantum images using quantum wavelet transform

    Yu-Guang Yang, Peng Xu, Ju Tian, and Hua Zhang. Analysis and improvement of the dynamic watermarking scheme for quantum images using quantum wavelet transform. Quantum Information Processing, 13(9):1931– 1936, Sep 2014

  162. [170]

    Bhowmik and T

    D. Bhowmik and T. Feng. The multimedia blockchain: A distributed and tamper-proof media transaction framework. In 2017 22nd International Conference on Digital Signal Processing (DSP), pages 1–5, Aug 2017

  163. [171]

    Z. Meng, T. Morizumi, S. Miyata, and H. Kinoshita. Design scheme of copyright management system based on digital watermarking and blockchain. In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), volume 02, pages 359–364, July 2018

  164. [172]

    A blockchain-based scheme for secure sharing of x-ray medical images

    Bingqi Liu, Mingzhe Liu, Xin Jiang, Feixiang Zhao, and Ruili Wang. A blockchain-based scheme for secure sharing of x-ray medical images. In Ching-Nung Yang, Sheng-Lung Peng, and Lakhmi C. Jain, editors, Security with Intelligent Computing and Big-data Services, pages 29–42, Ch...

  165. [173]

    Transcoding resilient video watermarking scheme based on spatio-temporal hvs and dct

    Antonio Cedillo-Hernandez, Manuel Cedillo-Hernandez, Mireya Garcia-Vazquez, Mariko Nakano-Miyatake, Hector Perez-Meana, and Alejandro Ramirez-Acosta. Transcoding resilient video watermarking scheme based on spatio-temporal hvs and dct. Signal Processing, 97:40 – 54, 2014

  166. [174]

    A robust video watermarking technique in the spatial domain

    R Lancini, F Mapelli, and S Tubaro. A robust video watermarking technique in the spatial domain. In International Symposium on VIPromCom Video/Image Processing and Multimedia Communications , pages 251–256. IEEE, 2002. 33

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