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A review of the audio and video steganalysis algorithms

Authors:

Natarajan Meghanathan,

Lopamudra NayakAuthors Info & Claims

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

Article No.: 81, Pages 1 - 5

https://doi.org/10.1145/1900008.1900118

Published: 15 April 2010 Publication History

Abstract

Steganography is the process of hiding information in cover media to obtain the stego media, such that the cover media is perceived not to have any embedded message for its unintended recipients. Steganalysis is the mechanism of detecting the presence of hidden information in the stego media and it can lead to the prevention of disastrous security incidents. The three common forms of cover media used in Steganography are Image, Audio and Video. Only few algorithms are available for audio and video steganalysis and there is no comprehensive survey available for the same. The high-level contribution of this paper is a critical review of the algorithms available for audio and video steganalysis. We observe that each of these two cover media has its own special attributes and steganalysis algorithms developed for one category are not applicable to the other. We anticipate that this paper will serve as a launch pad for investigators interested in audio and/or video steganalysis research.

References

[1]

http://www.internetworldstats.com/stats.htm

[2]

Stinson, D. 2002. Cryptography: Theory and Practice. 2^nd Edition. Chapman and Hal/CRC.

Digital Library

[3]

Sullivan, K., Madhow, U., Chandrasekaran, S., and Manjunath, B. S. 2006. Steganalysis for Markov Cover Data with Applications to Images. IEEE Transactions on Information Forensics & Security. 1, 2 (Jun. 2006), 275--287.

Digital Library

[4]

Ru, X.-M., Zhang, H.-J., and Huang, X. Steganalysis of Audio: Attacking the Steghide. In Proceedings of the 4^th International Conference on Machine Learning and Cybernetics (Guangzhou, China, August 18--21, 2005). 7, 3937--3942.

[5]

Kancherla, K., and Mukkamala, S. Video Steganalysis using Spatial and Temporal Redundancies. In Proceedings of the International Conference on High Performance Computing and Simulation (Leipzig, Germany, June 21--24, 2009). 200--207.

[6]

Arnold, M., Wolthusen, S., and Schmucker, M. 2003. Techniques and Applications of Digital Watermarking and Content Protection. Artech House.

Digital Library

[7]

Sridevi, R., Damodaram, A., and Narasimham, S. V. L. 2009. Efficient Method of Audio Steganography by Modified LSB Algorithm and Strong Encryption Key with Enhanced Security. Journal of Theoretical and Applied Information Technology. 5, 6 (Jun. 2009), 768--771.

[8]

Bender, W., Gruhl, D., and Morimoto, N. 1996. Techniques for Data Hiding. Systems Journal. 35, 3--4 (1996), 313--336.

Digital Library

[9]

Kirovski, D., and Malvar, H. 2003. Spread-spectrum Watermarking of Audio Signals. IEEE Transactions on Signal Processing. 51, 4 (Apr. 2003), 1020--1033.

Digital Library

[10]

Huang, D., and Yeo, T. Robust and Inaudible Multi-echo Audio Watermarking. In Proceedings of the IEEE Pacific-Rim Conference on Multimedia (Hsinchu, Taiwan, December 16--18, 2002), 615--622.

Digital Library

[11]

Kraetzer, C., and Dittmann, J. 2008. Pros and Cons of Melcepstrum based Audio Steganalysis using SVM Classification. Lecture Notes in Computer Science. 4567 (Jan. 2008), 359--377.

Digital Library

[12]

Zeng, W., Ai, H., and Hu, R. A Novel Steganalysis Algorithm of Phase Coding in Audio Signal. In Proceedings of the 6^th International Conference on Advanced Language Processing and Web Information Technology (Luoyang, China, August 22--24, 2007). 242--247.

Digital Library

[13]

Zeng, W., Ai, H., and Hu, R. An Algorithm for Echo Steganalysis based on Power Cepstrum and Pattern Classification. In Proceedings of the International Conference on Information and Automation (Zhangjiajie, China, June 20--23, 2008). 1667--1670.

[14]

Paraskevas, I., and Chilton, E. 2004. Combination of Magnitude and Phase Statistical Features for Audio Classification. Acoustical Research Letters Online. 5, 3 (Jul. 2004), 111--117.

[15]

Johnson, M. K., Lyu, S., and Farid, H. Steganalysis of Recorded Speech. In Proceedings of the Conference on Security, Steganography and Watermarking of Multimedia (San Jose, USA, January 16--20, 2005). SPIE 5681, 664--672.

[16]

Ozer, H., Avcibas, I., Sankur, B., and Memon, N. D. Steganalysis of Audio based on Audio Quality Metrics. In Proceedings of the Conference on Security, Steganography and Watermarking of Multimedia (Santa Clara, USA, January 2003). SPIE 5020, 55--66.

[17]

Rencher, A. C. 2002. Methods of Multivariate Data Analysis. 2^nd Edition. John Wiley.

[18]

Pudil, P., Novovicova, J., and Kittler, J. 1994. Floating Search Methods in Feature Selection. Pattern Recognition Letters. 15, 11 (Nov. 1994), 1119--1125.

Digital Library

[19]

Liu, Y., Chiang, K., Corbett, C., Archibald, R., Mukherjee, B., and Ghosal, D. 2008. A Novel Audio Steganalysis based on Higher-Order Statistics of a Distortion Measure with Hausdorff Distance. Lecture Notes in Computer Science. 5222 (Sep. 2008), 487--501.

Digital Library

[20]

Huttenlocher, D. P., Klanderman, G. A., and Rucklidge, W. J. 1993. Comparing Images using the Hausdorff Distance. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19, 9 (Sep. 1993), 850--863.

Digital Library

[21]

Holotyak, T., Fridrich, J., and Voloshynovskiy, S. 2005. Blind Statistical Steganalysis of Additive Steganography using Wavelet Higher Order Statistics. Lecture Notes in Computer Science. 3677 (Sep. 2005), 273--274.

Digital Library

[22]

Avcibas, I. 2006. Audio Steganalysis with Content-independent Distortion Measures. IEEE Signal Processing Letters. 13, 2 (Feb. 2006). 92--95.

[23]

Liu, Q., Sung, A. H., and Qiao, M. Novel Stream Mining for Audio Steganalysis. In Proceedings of the 17^th ACM International Conference on Multimedia (Beijing, China, October 19--24, 2009), 95--104.

Digital Library

[24]

Budia, U., Kundur, D., and Zourntos, T. 2006. Digital Video Steganalysis Exploiting Statistical Visibility in the Temporal Domain. IEEE Transactions on Information Forensics and Security. 1, 4 (Dec. 2006), 502--516.

Digital Library

[25]

Cox, I., Kilian, J., Leighton, F., and Shamoon, T. 1997. Secure Spread Spectrum Watermarking for Multi-media. IEEE Transactions on Image Processing. 6, 12 (Dec. 1997), 1673--1687.

Digital Library

[26]

Marvel, L. M., Boncelet Jr. C. G., and Retter, C. T. 1999. Spread Spectrum Image Steganography. IEEE Transactions on Image Processing. 8, 8 (Aug. 1999), 1075--1083.

Digital Library

[27]

Jainsky, J. S., Kundur, D., and Halverson, D. R. Towards Digital Video Steganalysis using Asymptotic Memoryless Detection. In Proceedings of the 9^th International Workshop on Multimedia and Security (Dallas, USA, September 20--21, 2007). 161--168.

Digital Library

[28]

Lehmann, E. L., and Romano, J. P. 2005. Testing Statistical Hypotheses. 3^rd Edition. Springer Texts in Statistics.

[29]

Su, Y., Zhang, C., Wang, L., and Zhang, C. A New Video Steganalysis based on Mode Detection. In Proceedings of the International Conference on Audio, Language and Image Processing (Shanghai, China, July 7--9, 2008). 1507--1510.

[30]

http://www.compression.ru/video/stego_video/index.html

[31]

Pankajakshan, V., and Ho, A. T. S. Improving Video Steganalysis using Temporal Correlation. In Proceedings of the 3^rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (Splendor Kaohsiung, Taiwan, November 26--28, 2007). 1, 287--290.

Digital Library

[32]

Wang, Y., Osterman, J., and Zhang, Y.-Q. 2001. Video Processing and Communications. Prentice Hall.

Digital Library

[33]

Zhang, C., Su, Y., and Zhang, C. 2008. Video Steganalysis based on Aliasing Detection. Electronic Letters. 44, 13 (Jun. 2008), 801--803.

[34]

Liu, B., Liu, F., and Wang, P. Inter-frame Correlation based Compression Video Steganalysis. In Proceedings of the Congress on Image and Signal Processing (Sanya, China, May 27--30, 2008), 3, 42--46.

Digital Library

Cited By

Bhattacharjee SRahim LWatada JRoy A(2020)Unified GPU Technique to Boost Confidentiality, Integrity and Trim Data Loss in Big Data TransmissionIEEE Access10.1109/ACCESS.2020.29782978(45477-45495)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2978297
(2018)Video steganalysis to obstruct criminal activities for digital forensicsInternational Journal of Electronic Security and Digital Forensics10.5555/3292811.329281310:4(338-355)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3292811.3292813
Li RXu SYang H(2016)Spread spectrum audio watermarking based on perceptual characteristic aware extractionIET Signal Processing10.1049/iet-spr.2014.038810:3(266-273)Online publication date: May-2016
https://doi.org/10.1049/iet-spr.2014.0388
Show More Cited By

Index Terms

A review of the audio and video steganalysis algorithms
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems

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cover image ACM Conferences

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

April 2010

488 pages

ISBN:9781450300643

DOI:10.1145/1900008

Conference Chair:
H. Conrad Cunningham
University of Mississippi
,
Program Chairs:
Paul Ruth,
Nicholas A. Kraft

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 15 April 2010

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ACM SE '10

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ACM SE '10: ACM Southeast Regional Conference

April 15 - 17, 2010

Mississippi, Oxford

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ACMSE '10 Paper Acceptance Rate 48 of 94 submissions, 51%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cited By

Bhattacharjee SRahim LWatada JRoy A(2020)Unified GPU Technique to Boost Confidentiality, Integrity and Trim Data Loss in Big Data TransmissionIEEE Access10.1109/ACCESS.2020.29782978(45477-45495)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2978297
(2018)Video steganalysis to obstruct criminal activities for digital forensicsInternational Journal of Electronic Security and Digital Forensics10.5555/3292811.329281310:4(338-355)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3292811.3292813
Li RXu SYang H(2016)Spread spectrum audio watermarking based on perceptual characteristic aware extractionIET Signal Processing10.1049/iet-spr.2014.038810:3(266-273)Online publication date: May-2016
https://doi.org/10.1049/iet-spr.2014.0388
Bhattacharjee SRahim LAziz I(2015)Hiding of compressed bit stream into audio file to enhance the confidentiality and portability of a data transmission system2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC)10.1109/ISMSC.2015.7594052(196-201)Online publication date: May-2015
https://doi.org/10.1109/ISMSC.2015.7594052
Kancherla KMukkamala S(2012)Block Level Video Steganalysis SchemeProceedings of the 2012 11th International Conference on Machine Learning and Applications - Volume 0110.1109/ICMLA.2012.121(651-654)Online publication date: 12-Dec-2012
https://dl.acm.org/doi/10.1109/ICMLA.2012.121
Olanrewaju RKhalifa O(2012)Digital audio watermarking; techniques and applications2012 International Conference on Computer and Communication Engineering (ICCCE)10.1109/ICCCE.2012.6271333(830-835)Online publication date: Jul-2012
https://doi.org/10.1109/ICCCE.2012.6271333
Poisel RTjoa S(2011)Forensics Investigations of Multimedia DataProceedings of the 2011 Sixth International Conference on IT Security Incident Management and IT Forensics10.1109/IMF.2011.14(48-61)Online publication date: 10-May-2011
https://dl.acm.org/doi/10.1109/IMF.2011.14

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