Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences

By analyzing and proving the correlation between the detection capability of a short duplicate code statistical feature and the probability of cumulating short duplicate codes、the dimension of short duplicate codes,a method to improving the detection capability of a short duplicate code statistical...

Full description

Saved in:
Bibliographic Details
Main Authors: Shang-ping ZHONG, Qiao-fen XU, Wen-zhong GUO, Bin LIAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0051-10/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539870042882048
author Shang-ping ZHONG
Qiao-fen XU
Wen-zhong GUO
Bin LIAO
author_facet Shang-ping ZHONG
Qiao-fen XU
Wen-zhong GUO
Bin LIAO
author_sort Shang-ping ZHONG
collection DOAJ
description By analyzing and proving the correlation between the detection capability of a short duplicate code statistical feature and the probability of cumulating short duplicate codes、the dimension of short duplicate codes,a method to improving the detection capability of a short duplicate code statistical feature was found.Then,a blind detection method for image steganography using short duplicate codes statistical model for Hilbert scanning sequences was proposed.The proposed method used Poisson distribution test to detect the stego-message based on the statistical feature of short duplicate code with same elements in LSB Hilbert scanning sequences.So,the proposed method could make full use of Hilbert curve to maintain the good properties of local correlation,and could not only use the correlation of adjacent elements,but also use the correlation of elements in local regions.Theoretical lysis and experiments show that the proposed method can effectively improve the detection rate under the condition of effectively controlling the false alarm rate.
format Article
id doaj-art-6b49bd8699fe4d349c46144d0f8a3d24
institution Kabale University
issn 1000-436X
language zho
publishDate 2013-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-6b49bd8699fe4d349c46144d0f8a3d242025-01-14T06:34:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-01-0134516059668201Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequencesShang-ping ZHONGQiao-fen XUWen-zhong GUOBin LIAOBy analyzing and proving the correlation between the detection capability of a short duplicate code statistical feature and the probability of cumulating short duplicate codes、the dimension of short duplicate codes,a method to improving the detection capability of a short duplicate code statistical feature was found.Then,a blind detection method for image steganography using short duplicate codes statistical model for Hilbert scanning sequences was proposed.The proposed method used Poisson distribution test to detect the stego-message based on the statistical feature of short duplicate code with same elements in LSB Hilbert scanning sequences.So,the proposed method could make full use of Hilbert curve to maintain the good properties of local correlation,and could not only use the correlation of adjacent elements,but also use the correlation of elements in local regions.Theoretical lysis and experiments show that the proposed method can effectively improve the detection rate under the condition of effectively controlling the false alarm rate.http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0051-10/blind detection for image steganographystatistics of short duplicate codes with same elementsHilbert curve scanningcorrelation of adjacent elementscorrelation of elements in local regions
spellingShingle Shang-ping ZHONG
Qiao-fen XU
Wen-zhong GUO
Bin LIAO
Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences
Tongxin xuebao
blind detection for image steganography
statistics of short duplicate codes with same elements
Hilbert curve scanning
correlation of adjacent elements
correlation of elements in local regions
title Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences
title_full Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences
title_fullStr Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences
title_full_unstemmed Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences
title_short Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences
title_sort blind detection for image steganography using short du ate codes statistical model for hilbert scanning sequences
topic blind detection for image steganography
statistics of short duplicate codes with same elements
Hilbert curve scanning
correlation of adjacent elements
correlation of elements in local regions
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0051-10/
work_keys_str_mv AT shangpingzhong blinddetectionforimagesteganographyusingshortduatecodesstatisticalmodelforhilbertscanningsequences
AT qiaofenxu blinddetectionforimagesteganographyusingshortduatecodesstatisticalmodelforhilbertscanningsequences
AT wenzhongguo blinddetectionforimagesteganographyusingshortduatecodesstatisticalmodelforhilbertscanningsequences
AT binliao blinddetectionforimagesteganographyusingshortduatecodesstatisticalmodelforhilbertscanningsequences