Article

An Implementation of Key-Based Digital Signal Steganography

Author:

IHW '01: Proceedings of the 4th International Workshop on Information Hiding

Pages 13 - 26

Published: 25 April 2001 Publication History

Abstract

A real-life requirement motivated this case study of secure covert communication. An independently researched process is described in detail with an emphasis on implementation issues regarding digital images. A scheme using stego keys to create pseudo-random sample sequences is developed. Issues relating to using digital signals for steganography are explored. The terms modified remainder and unmodified remainder are defined. Possible attacks are considered in detail from passive wardens and methods of defeating such attacks are suggested. Software implementing the new ideas is introduced, which has been successfully developed, deployed and used for several years without detection.

References

[1]

Ross J. Anderson and Fabien A. P. Petitcolas. On the Limits of Steganography , IEEE Journal of Selected Areas in Communications, 16(4):474-481, May 1998. Special Issue on Copyright & Privacy Protection.

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[2]

Elke Franz, Anja Jerichow, Steffen Möller, Andreas Pfitzmann and Ingo Stierand. Computer Based Steganography: How it works and why therefore any restrictions on cryptography are nonsense, at best . Springer-Verlag Lecture Notes in Computer Science, Vol. 1174 (1996).

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Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing . Addison-Wesley, 1993.

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Kombrink MGeradts ZWorring M(2024)Image Steganography Approaches and Their Detection Strategies: A SurveyACM Computing Surveys10.1145/369496557:2(1-40)Online publication date: 10-Oct-2024
https://dl.acm.org/doi/10.1145/3694965
Gilkarov DDubin R(2024)Steganalysis of AI Models LSB AttacksIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.338377019(4767-4779)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1109/TIFS.2024.3383770
Ma ZZhu YLuo GLiu XSchaefer GFang HElkind E(2023)Robust steganography without embedding based on secure container synthesis and iterative message recoveryProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/538(4838-4846)Online publication date: 19-Aug-2023
https://dl.acm.org/doi/10.24963/ijcai.2023/538
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Published In

IHW '01: Proceedings of the 4th International Workshop on Information Hiding

April 2001

414 pages

ISBN:3540427333

Editor:
Ira S. Moskowitz

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 25 April 2001

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Kombrink MGeradts ZWorring M(2024)Image Steganography Approaches and Their Detection Strategies: A SurveyACM Computing Surveys10.1145/369496557:2(1-40)Online publication date: 10-Oct-2024
https://dl.acm.org/doi/10.1145/3694965
Gilkarov DDubin R(2024)Steganalysis of AI Models LSB AttacksIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.338377019(4767-4779)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1109/TIFS.2024.3383770
Ma ZZhu YLuo GLiu XSchaefer GFang HElkind E(2023)Robust steganography without embedding based on secure container synthesis and iterative message recoveryProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/538(4838-4846)Online publication date: 19-Aug-2023
https://dl.acm.org/doi/10.24963/ijcai.2023/538
Zhu JZhao XGuan Q(2019)Detecting and Distinguishing Adaptive and Non-Adaptive Steganography by Image SegmentationInternational Journal of Digital Crime and Forensics10.4018/IJDCF.201901010511:1(62-77)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.4018/IJDCF.2019010105
Lerch-Hostalot DMegías DCogranne RVerdoliva LLyu SPastoriza JZhang X(2019)Detection of Classifier Inconsistencies in Image SteganalysisProceedings of the ACM Workshop on Information Hiding and Multimedia Security10.1145/3335203.3335738(222-229)Online publication date: 2-Jul-2019
https://dl.acm.org/doi/10.1145/3335203.3335738
Sun YZhang HZhang TWang R(2019)Deep neural networks for efficient steganographic payload locationJournal of Real-Time Image Processing10.1007/s11554-019-00849-y16:3(635-647)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s11554-019-00849-y
Abdulla ASellahewa HJassim S(2019)Improving embedding efficiency for digital steganography by exploiting similarities between secret and cover imagesMultimedia Tools and Applications10.1007/s11042-019-7166-778:13(17799-17823)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11042-019-7166-7
Shreelekshmi RWilscy MMadhavan C(2019)Undetectable least significant bit replacement steganographyMultimedia Tools and Applications10.1007/s11042-018-6541-078:8(10565-10582)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s11042-018-6541-0
Hu DMa ZFan YZheng SYe DWang L(2019)Study on the interaction between the cover source mismatch and texture complexity in steganalysisMultimedia Tools and Applications10.1007/s11042-018-6497-078:6(7643-7666)Online publication date: 1-Mar-2019
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Meikap SJana B(2018)Directional PVO for reversible data hiding scheme with image interpolationMultimedia Tools and Applications10.5555/3288443.328848077:23(31281-31311)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.5555/3288443.3288480
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Implementation of Least Significant Bit Steganography and statistical steganalysis

Cryptography and Steganography in Digital Images

A JPEG-based statistically invisible steganography

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