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Study on the interaction between the cover source mismatch and texture complexity in steganalysis

Authors:

Lina WangAuthors Info & Claims

Multimedia Tools and Applications, Volume 78, Issue 6

Pages 7643 - 7666

https://doi.org/10.1007/s11042-018-6497-0

Published: 01 March 2019 Publication History

Abstract

Cover source mismatch (CSM) occurs when a detection classifier for steganalysis trained on objects from one cover source is tested on another source. However, it is very hard to find the same sources as suspicious images in real-world applications. Therefore, the CSM is one of the biggest stumbling blocks to hinder current classifier based steganalysis methods from becoming practical. Meanwhile, the texture complexity (of digital images) also plays an important role in affecting the detection accuracy of steganalysis. Previous work seldom conduct research on the interaction between the two factors of the CSM and the texture complexity (TC). This paper studies the interaction between the two factors and explore certain factor related to cover source mismatch, aiming to improve the steganalysis accuracy in the case of CSM. We propose an effective method to measure the TC via image filtering, and use the two-way analysis of variance to study the interaction between the two factors. Both non-adaptive and adaptive steganography experiments are carried out with different levels of TC and CSM. The experimental results have shown that the interaction between the two factors affects the detection accuracy significantly.

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Cited By

Mallet ACogranne RBas PPérez-González FComesaña-Alfaro PKrätzer CVicky Zhao H(2024)Linking Intrinsic Difficulty and Regret to Properties of Multivariate Gaussians in Image SteganalysisProceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security10.1145/3658664.3659643(31-39)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3658664.3659643
Zhang LAbdullahi SHe PWang H(2022)Dataset mismatched steganalysis using subdomain adaptation with guiding featureTelecommunications Systems10.1007/s11235-022-00901-680:2(263-276)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11235-022-00901-6
Chutani SGoyal A(2019)A review of forensic approaches to digital image SteganalysisMultimedia Tools and Applications10.1007/s11042-019-7217-078:13(18169-18204)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11042-019-7217-0

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Published In

cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 78, Issue 6

March 2019

1453 pages

ISSN:1380-7501

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Copyright © Copyright © 2019 Springer Science+Business Media, LLC, part of Springer Nature.

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Kluwer Academic Publishers

United States

Publication History

Published: 01 March 2019

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Cited By

Mallet ACogranne RBas PPérez-González FComesaña-Alfaro PKrätzer CVicky Zhao H(2024)Linking Intrinsic Difficulty and Regret to Properties of Multivariate Gaussians in Image SteganalysisProceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security10.1145/3658664.3659643(31-39)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3658664.3659643
Zhang LAbdullahi SHe PWang H(2022)Dataset mismatched steganalysis using subdomain adaptation with guiding featureTelecommunications Systems10.1007/s11235-022-00901-680:2(263-276)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11235-022-00901-6
Chutani SGoyal A(2019)A review of forensic approaches to digital image SteganalysisMultimedia Tools and Applications10.1007/s11042-019-7217-078:13(18169-18204)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11042-019-7217-0

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