Coverless Steganography Based on Low Similarity Feature Selection in DCT Domain

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dc.contributor.authorTan, L.
dc.contributor.authorLiu, J.
dc.contributor.authorZhou, Y.
dc.contributor.authorChen, R.
dc.coverage.issue4cs
dc.coverage.volume32cs
dc.date.accessioned2024-01-09T14:20:51Z
dc.date.available2024-01-09T14:20:51Z
dc.date.issued2023-12cs
dc.description.abstractCoverless image steganography typically extracts feature sequences from cover images to map information. Once the extracted features have high similarity, it is challenging to construct a complete mapping sequence set, which places a heavy burden on the underlying storage and computation. In order to improve database utilization while increasing the data-hiding capacity, we propose a coverless steganography model based on low-similarity feature selection in the DCT domain. A mapping algorithm is presented based on an 8000-dimensional feature termed CS-DCTR extracted from each image to convert into binary sequences. The high feature dimension leads to a high capacity, ranging from 8 to 25 bits per image. Furthermore, scrambling is employed for feature mapping before building an inverted index tree, considerably enhancing security against steganalysis. Experimental results show that CS-DCTR features exhibit high diversity, averaging 49.3% complete mapping sequences, which indicates lower similarity among CS-DCTR features. The technique also demonstrates resistance to normal operations and benign attacks. The information extraction accuracy rises to 96.7% on average under typical noise attacks. Moreover, our technique achieves excellent performance in terms of hiding capacity, image utilization, and transmission security.en
dc.formattextcs
dc.format.extent603-615cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2023 vol. 32, č. 4, s. 603-615. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2023.0603en
dc.identifier.issn1210-2512
dc.identifier.urihttps://hdl.handle.net/11012/244204
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2023/23_04_0603_0615.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectCoverlessen
dc.subjectsteganographyen
dc.subjectfeature collisionen
dc.subjectDCTRen
dc.subjectJPEGen
dc.titleCoverless Steganography Based on Low Similarity Feature Selection in DCT Domainen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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