Image complexity and feature mining for steganalysis of least significant bit matching steganography
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/4093 https://doi.org/10.1016/j.ins.2007.08.007 |
Resumo: | The information-hiding ratio is a well-known metric for evaluating steganalysis performance. In this paper, we introduce a new metric of image complexity to enhance the evaluation of steganalysis performance. In addition, we also present a scheme of steganalysis of least significant bit (LSB) matching steganography, based on feature mining and pattern recognition techniques. Compared to other well-known methods of steganalysis of LSB matching steganography, our method performs the best. Results also indicate that the significance of features and the detection performance depend not only on the information-hiding ratio, but also on the image complexity. |
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Image complexity and feature mining for steganalysis of least significant bit matching steganographySteganalysisLSB matching steganographyImage complexityCorrelationClassificationThe information-hiding ratio is a well-known metric for evaluating steganalysis performance. In this paper, we introduce a new metric of image complexity to enhance the evaluation of steganalysis performance. In addition, we also present a scheme of steganalysis of least significant bit (LSB) matching steganography, based on feature mining and pattern recognition techniques. Compared to other well-known methods of steganalysis of LSB matching steganography, our method performs the best. Results also indicate that the significance of features and the detection performance depend not only on the information-hiding ratio, but also on the image complexity.http://www.sciencedirect.com/science/article/B6V0C-4PGGP7X-1/1/860a8a93799c6d245e4ee52bfdb4180d2008info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/4093http://hdl.handle.net/10316/4093https://doi.org/10.1016/j.ins.2007.08.007engInformation Sciences. 178:1 (2008) 21-36Liu, QingzhongSung, Andrew H.Ribeiro, BernardeteWei, MingzhenChen, ZhongxueXu, Jianyuninfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-11-06T16:49:08Zoai:estudogeral.uc.pt:10316/4093Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:58:16.980533Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Image complexity and feature mining for steganalysis of least significant bit matching steganography |
title |
Image complexity and feature mining for steganalysis of least significant bit matching steganography |
spellingShingle |
Image complexity and feature mining for steganalysis of least significant bit matching steganography Liu, Qingzhong Steganalysis LSB matching steganography Image complexity Correlation Classification |
title_short |
Image complexity and feature mining for steganalysis of least significant bit matching steganography |
title_full |
Image complexity and feature mining for steganalysis of least significant bit matching steganography |
title_fullStr |
Image complexity and feature mining for steganalysis of least significant bit matching steganography |
title_full_unstemmed |
Image complexity and feature mining for steganalysis of least significant bit matching steganography |
title_sort |
Image complexity and feature mining for steganalysis of least significant bit matching steganography |
author |
Liu, Qingzhong |
author_facet |
Liu, Qingzhong Sung, Andrew H. Ribeiro, Bernardete Wei, Mingzhen Chen, Zhongxue Xu, Jianyun |
author_role |
author |
author2 |
Sung, Andrew H. Ribeiro, Bernardete Wei, Mingzhen Chen, Zhongxue Xu, Jianyun |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Liu, Qingzhong Sung, Andrew H. Ribeiro, Bernardete Wei, Mingzhen Chen, Zhongxue Xu, Jianyun |
dc.subject.por.fl_str_mv |
Steganalysis LSB matching steganography Image complexity Correlation Classification |
topic |
Steganalysis LSB matching steganography Image complexity Correlation Classification |
description |
The information-hiding ratio is a well-known metric for evaluating steganalysis performance. In this paper, we introduce a new metric of image complexity to enhance the evaluation of steganalysis performance. In addition, we also present a scheme of steganalysis of least significant bit (LSB) matching steganography, based on feature mining and pattern recognition techniques. Compared to other well-known methods of steganalysis of LSB matching steganography, our method performs the best. Results also indicate that the significance of features and the detection performance depend not only on the information-hiding ratio, but also on the image complexity. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/4093 http://hdl.handle.net/10316/4093 https://doi.org/10.1016/j.ins.2007.08.007 |
url |
http://hdl.handle.net/10316/4093 https://doi.org/10.1016/j.ins.2007.08.007 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Information Sciences. 178:1 (2008) 21-36 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
aplication/PDF |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133873039212544 |