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Towards Improved Steganalysis: When Cover Selection is Used in Steganography

Wang, Zichi, Li, Shujun, Zhang, Xinpeng (2019) Towards Improved Steganalysis: When Cover Selection is Used in Steganography. IEEE Access, 7 . pp. 168914-168921. ISSN 2169-3536. (doi:10.1109/ACCESS.2019.2955113)

Abstract

This paper proposes an improved steganalytic method when cover selection is used in steganography. We observed that the covers selected by existing cover selection methods normally have different characteristics from normal ones, and propose a steganalytic method to capture such differences. As a result, the detection accuracy of steganalysis is increased. In our method, we consider a number of images collected from one or more target (suspected but not known) users, and use an unsupervised learning algorithm such as $k$ -means to adapt the performance of a pre-trained classifier towards the cover selection operation of the target user(s). The adaptation is done via pseudo-labels from the suspected images themselves, thus allowing the re-trained classifier more aligned with the cover selection operation of the target user(s). We give experimental results to show that our method can indeed help increase the detection accuracy, especially when the percentage of stego images is between 0.3 and 0.7.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2019.2955113
Uncontrolled keywords: Cover selection, steganography, steganalysis, clustering
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.575 Multimedia systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications
Divisions: Faculties > University wide - Teaching/Research Groups > Centre for Cyber Security Research
Faculties > Sciences > School of Computing > Security Group
Depositing User: Shujun Li
Date Deposited: 05 Dec 2019 19:57 UTC
Last Modified: 06 Dec 2019 12:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79178 (The current URI for this page, for reference purposes)
Wang, Zichi: https://orcid.org/0000-0003-0283-5338
Li, Shujun: https://orcid.org/0000-0001-5628-7328
Zhang, Xinpeng: https://orcid.org/0000-0001-5867-1315
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