Detection of stego images with adaptively embedded data by component analysis methods

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dc.citation.epage154
dc.citation.issueVolume 6, № 2
dc.citation.journalTitleAdvances in Cyber-Physical Systems
dc.citation.spage146
dc.contributor.affiliationIgor Sikorsky Kyiv Polytechnic Institute
dc.contributor.authorProgonov, Dmytro
dc.date.accessioned2022-12-01T10:07:58Z
dc.date.available2022-12-01T10:07:58Z
dc.date.issued2021
dc.date.submitted2022
dc.description.abstractEnsuring the effective protection of personal and corporate sensitive data is topical task today. The special interest is taken at sensitive data leakage prevention during files transmission in communication systems. In most cases, these leakages are conducted by usage of advance adaptive steganographic methods. These methods are aimed at minimizing distortions of cover files, such as digital images, during data hiding that negatively impact on detection accuracy of formed stego images. For overcoming this shortcoming, it was proposed to pre-process (calibrate) analyzed images for increasing stego-to-cover ratio. The modern paradigm of image calibration is based on usage of enormous set of high-pass filters. However, selection of filter(s) that maximizes the probability of stego images detection is non-trivial task, especially in case of limited a prior knowledge about embedding methods. For solving this task, we proposed to use component analysis methods for image calibration, namely principal components analysis. Results of comparative analysis of novel maxSRMd2 cover rich model and proposed solution showed that principal component analysis allows increasing detection accuracy up to 1.5 % even in the most difficult cases (low cover image payload and absence of cover-stego images pairs in training set).
dc.format.pages146-154
dc.identifier.citationProgonov D. Detection of stego images with adaptively embedded data by component analysis methods / Dmytro Progonov // Advances in Cyber-Physical Systems. – Lviv : Lviv Politechnic Publishing House, 2021. – Volume 6, № 2. – P. 146–154 . – Bibliography: 24 titles.
dc.identifier.doihttps://doi.org/10.23939/acps2021.02.146
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57246
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofAdvances in Cyber-Physical Systems
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dc.subjectdaptive embedding methods, commu nication system security, digital images, steganalysis
dc.titleDetection of stego images with adaptively embedded data by component analysis methods
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2021. – Vol. 6, No. 2