About: Towards Improved Steganalysis: When Cover Selection is Used in Steganography

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #79178 Towards Improved Steganalysis: When Cover Selection is Used in Steganography
sameAs	Towards Improved Steganalysis: When Cover Selection is Used in Steganography
http://eprints.org/ontology/hasDocument	Towards Improved Steganalysis: When Cover Selection is Used in Steganography (PDF) Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other) Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other) Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other) Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other) Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other)
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dc:hasVersion	Towards Improved Steganalysis: When Cover Selection is Used in Steganography (PDF)
Title	Towards Improved Steganalysis: When Cover Selection is Used in Steganography
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2019-11-22
Creator	Shujun Li Zichi Wang Xinpeng Zhang
status	peer reviewed published
Publisher	IEEE
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.
Is Part Of	IEEE Access https://kar.kent.ac.uk/id/repository
Subject	QA 75 Electronic computers. Computer science QA76.575 Multimedia systems TK5101 Telecommunications
list of authors	https://kar.kent.ac.uk/id/eprint/79178#authors
volume	7
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #79178 Towards Improved Steganalysis: When Cover Selection is Used in Steganography

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