Modification ratio estimation for a category of adaptive steganography

Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the categ...
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Autor*in:	Luo, XiangYang [verfasserIn] Liu, FenLin [verfasserIn] Yang, ChunFang [verfasserIn] Lian, ShiGuo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2010

Schlagwörter:	adaptive steganography steganalysis MLSB (multiple least significant bits) sample pair analysis modification ratio

Übergeordnetes Werk:	Enthalten in: Science in China - Heidelberg : Springer, 2001, 53(2010), 12 vom: 26. Nov., Seite 2472-2484
Übergeordnetes Werk:	volume:53 ; year:2010 ; number:12 ; day:26 ; month:11 ; pages:2472-2484

Links:	Volltext

DOI / URN:	10.1007/s11432-010-4105-7

Katalog-ID:	SPR019302193

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allfields	10.1007/s11432-010-4105-7 doi (DE-627)SPR019302193 (SPR)s11432-010-4105-7-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Luo, XiangYang verfasserin aut Modification ratio estimation for a category of adaptive steganography 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method. adaptive steganography (dpeaa)DE-He213 steganalysis (dpeaa)DE-He213 MLSB (multiple least significant bits) (dpeaa)DE-He213 sample pair analysis (dpeaa)DE-He213 modification ratio (dpeaa)DE-He213 Liu, FenLin verfasserin aut Yang, ChunFang verfasserin aut Lian, ShiGuo verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 53(2010), 12 vom: 26. Nov., Seite 2472-2484 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:53 year:2010 number:12 day:26 month:11 pages:2472-2484 https://dx.doi.org/10.1007/s11432-010-4105-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 53 2010 12 26 11 2472-2484
spelling	10.1007/s11432-010-4105-7 doi (DE-627)SPR019302193 (SPR)s11432-010-4105-7-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Luo, XiangYang verfasserin aut Modification ratio estimation for a category of adaptive steganography 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method. adaptive steganography (dpeaa)DE-He213 steganalysis (dpeaa)DE-He213 MLSB (multiple least significant bits) (dpeaa)DE-He213 sample pair analysis (dpeaa)DE-He213 modification ratio (dpeaa)DE-He213 Liu, FenLin verfasserin aut Yang, ChunFang verfasserin aut Lian, ShiGuo verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 53(2010), 12 vom: 26. Nov., Seite 2472-2484 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:53 year:2010 number:12 day:26 month:11 pages:2472-2484 https://dx.doi.org/10.1007/s11432-010-4105-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 53 2010 12 26 11 2472-2484
allfields_unstemmed	10.1007/s11432-010-4105-7 doi (DE-627)SPR019302193 (SPR)s11432-010-4105-7-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Luo, XiangYang verfasserin aut Modification ratio estimation for a category of adaptive steganography 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method. adaptive steganography (dpeaa)DE-He213 steganalysis (dpeaa)DE-He213 MLSB (multiple least significant bits) (dpeaa)DE-He213 sample pair analysis (dpeaa)DE-He213 modification ratio (dpeaa)DE-He213 Liu, FenLin verfasserin aut Yang, ChunFang verfasserin aut Lian, ShiGuo verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 53(2010), 12 vom: 26. Nov., Seite 2472-2484 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:53 year:2010 number:12 day:26 month:11 pages:2472-2484 https://dx.doi.org/10.1007/s11432-010-4105-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 53 2010 12 26 11 2472-2484
allfieldsGer	10.1007/s11432-010-4105-7 doi (DE-627)SPR019302193 (SPR)s11432-010-4105-7-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Luo, XiangYang verfasserin aut Modification ratio estimation for a category of adaptive steganography 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method. adaptive steganography (dpeaa)DE-He213 steganalysis (dpeaa)DE-He213 MLSB (multiple least significant bits) (dpeaa)DE-He213 sample pair analysis (dpeaa)DE-He213 modification ratio (dpeaa)DE-He213 Liu, FenLin verfasserin aut Yang, ChunFang verfasserin aut Lian, ShiGuo verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 53(2010), 12 vom: 26. Nov., Seite 2472-2484 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:53 year:2010 number:12 day:26 month:11 pages:2472-2484 https://dx.doi.org/10.1007/s11432-010-4105-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 53 2010 12 26 11 2472-2484
allfieldsSound	10.1007/s11432-010-4105-7 doi (DE-627)SPR019302193 (SPR)s11432-010-4105-7-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.00 bkl Luo, XiangYang verfasserin aut Modification ratio estimation for a category of adaptive steganography 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method. adaptive steganography (dpeaa)DE-He213 steganalysis (dpeaa)DE-He213 MLSB (multiple least significant bits) (dpeaa)DE-He213 sample pair analysis (dpeaa)DE-He213 modification ratio (dpeaa)DE-He213 Liu, FenLin verfasserin aut Yang, ChunFang verfasserin aut Lian, ShiGuo verfasserin aut Enthalten in Science in China Heidelberg : Springer, 2001 53(2010), 12 vom: 26. Nov., Seite 2472-2484 (DE-627)385614764 (DE-600)2142898-0 1862-2836 nnns volume:53 year:2010 number:12 day:26 month:11 pages:2472-2484 https://dx.doi.org/10.1007/s11432-010-4105-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 54.00 ASE AR 53 2010 12 26 11 2472-2484
language	English
source	Enthalten in Science in China 53(2010), 12 vom: 26. Nov., Seite 2472-2484 volume:53 year:2010 number:12 day:26 month:11 pages:2472-2484
sourceStr	Enthalten in Science in China 53(2010), 12 vom: 26. Nov., Seite 2472-2484 volume:53 year:2010 number:12 day:26 month:11 pages:2472-2484
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	adaptive steganography steganalysis MLSB (multiple least significant bits) sample pair analysis modification ratio
dewey-raw	070
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container_title	Science in China
authorswithroles_txt_mv	Luo, XiangYang @@aut@@ Liu, FenLin @@aut@@ Yang, ChunFang @@aut@@ Lian, ShiGuo @@aut@@
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author	Luo, XiangYang
spellingShingle	Luo, XiangYang ddc 070 bkl 54.00 misc adaptive steganography misc steganalysis misc MLSB (multiple least significant bits) misc sample pair analysis misc modification ratio Modification ratio estimation for a category of adaptive steganography
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topic_title	070 004 ASE 54.00 bkl Modification ratio estimation for a category of adaptive steganography adaptive steganography (dpeaa)DE-He213 steganalysis (dpeaa)DE-He213 MLSB (multiple least significant bits) (dpeaa)DE-He213 sample pair analysis (dpeaa)DE-He213 modification ratio (dpeaa)DE-He213
topic	ddc 070 bkl 54.00 misc adaptive steganography misc steganalysis misc MLSB (multiple least significant bits) misc sample pair analysis misc modification ratio
topic_unstemmed	ddc 070 bkl 54.00 misc adaptive steganography misc steganalysis misc MLSB (multiple least significant bits) misc sample pair analysis misc modification ratio
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title	Modification ratio estimation for a category of adaptive steganography
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title_full	Modification ratio estimation for a category of adaptive steganography
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title_sort	modification ratio estimation for a category of adaptive steganography
title_auth	Modification ratio estimation for a category of adaptive steganography
abstract	Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method.
abstractGer	Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method.
abstract_unstemmed	Abstract This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method.
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title_short	Modification ratio estimation for a category of adaptive steganography
url	https://dx.doi.org/10.1007/s11432-010-4105-7
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author2	Liu, FenLin Yang, ChunFang Lian, ShiGuo
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doi_str	10.1007/s11432-010-4105-7
up_date	2024-07-04T01:01:52.459Z
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