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Detecting the MB1 with Higher-Order Statistics
MB1 is a very promising steganography. In this paper, a novel steganalysis scheme is presented to detect MB1. Many experiments are carried out based on high order features, and some useful propositions are learned from those experimental results. Based on those propositions we propose an effective M...
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creator | Donghui Hu Lina Wang Xiaqiu Jiang Tingting Zhu Yuntao Yue |
description | MB1 is a very promising steganography. In this paper, a novel steganalysis scheme is presented to detect MB1. Many experiments are carried out based on high order features, and some useful propositions are learned from those experimental results. Based on those propositions we propose an effective MB1 detection algorithm. Experimental results show that the new proposed method has outperformed the existing MB1 steganalysis method in detection reliability. |
doi_str_mv | 10.1109/CIS.2008.35 |
format | conference_proceeding |
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In this paper, a novel steganalysis scheme is presented to detect MB1. Many experiments are carried out based on high order features, and some useful propositions are learned from those experimental results. Based on those propositions we propose an effective MB1 detection algorithm. Experimental results show that the new proposed method has outperformed the existing MB1 steganalysis method in detection reliability.</description><identifier>ISBN: 0769535089</identifier><identifier>ISBN: 9780769535081</identifier><identifier>DOI: 10.1109/CIS.2008.35</identifier><identifier>LCCN: 2008935510</identifier><language>eng</language><publisher>IEEE</publisher><subject>Calibration ; Computational intelligence ; Computer science ; Computer security ; Detection algorithms ; Higher order statistics ; Histograms ; Information security ; MB1 ; steganalysis ; Steganography</subject><ispartof>2008 International Conference on Computational Intelligence and Security, 2008, Vol.2, p.330-335</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4724791$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4724791$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Donghui Hu</creatorcontrib><creatorcontrib>Lina Wang</creatorcontrib><creatorcontrib>Xiaqiu Jiang</creatorcontrib><creatorcontrib>Tingting Zhu</creatorcontrib><creatorcontrib>Yuntao Yue</creatorcontrib><title>Detecting the MB1 with Higher-Order Statistics</title><title>2008 International Conference on Computational Intelligence and Security</title><addtitle>ICCIAS</addtitle><description>MB1 is a very promising steganography. In this paper, a novel steganalysis scheme is presented to detect MB1. Many experiments are carried out based on high order features, and some useful propositions are learned from those experimental results. Based on those propositions we propose an effective MB1 detection algorithm. Experimental results show that the new proposed method has outperformed the existing MB1 steganalysis method in detection reliability.</description><subject>Calibration</subject><subject>Computational intelligence</subject><subject>Computer science</subject><subject>Computer security</subject><subject>Detection algorithms</subject><subject>Higher order statistics</subject><subject>Histograms</subject><subject>Information security</subject><subject>MB1</subject><subject>steganalysis</subject><subject>Steganography</subject><isbn>0769535089</isbn><isbn>9780769535081</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotzE1Lw0AQgOEFKdTWnnr0kj-QOJPZrzlq1LZQ6aG9l2wy26yoSLIg_nsRPb3wHF6l1ggVIvBdsztWNYCvyFypBTjLhgx4nqnFLzMZgzBXq2l6BQBk6xDpWlWPkqXL6eNS5EGKlwcsvlIeim26DDKWh7GXsTjmNqcpp266UbPYvk2y-u9SnZ6fTs223B82u-Z-XyaGXOoQYs062hp8MN5Gkb4XYz1rglY7DECWQFgwtJ32vamjJc0cPEWgjpbq9m-bROT8Oab3dvw-a1drx0g_JcRAjQ</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Donghui Hu</creator><creator>Lina Wang</creator><creator>Xiaqiu Jiang</creator><creator>Tingting Zhu</creator><creator>Yuntao Yue</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200812</creationdate><title>Detecting the MB1 with Higher-Order Statistics</title><author>Donghui Hu ; Lina Wang ; Xiaqiu Jiang ; Tingting Zhu ; Yuntao Yue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-4bbf294f6208b586feedde5689430a471b03630e9e1bac48d52f63499b83f03c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Calibration</topic><topic>Computational intelligence</topic><topic>Computer science</topic><topic>Computer security</topic><topic>Detection algorithms</topic><topic>Higher order statistics</topic><topic>Histograms</topic><topic>Information security</topic><topic>MB1</topic><topic>steganalysis</topic><topic>Steganography</topic><toplevel>online_resources</toplevel><creatorcontrib>Donghui Hu</creatorcontrib><creatorcontrib>Lina Wang</creatorcontrib><creatorcontrib>Xiaqiu Jiang</creatorcontrib><creatorcontrib>Tingting Zhu</creatorcontrib><creatorcontrib>Yuntao Yue</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Donghui Hu</au><au>Lina Wang</au><au>Xiaqiu Jiang</au><au>Tingting Zhu</au><au>Yuntao Yue</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Detecting the MB1 with Higher-Order Statistics</atitle><btitle>2008 International Conference on Computational Intelligence and Security</btitle><stitle>ICCIAS</stitle><date>2008-12</date><risdate>2008</risdate><volume>2</volume><spage>330</spage><epage>335</epage><pages>330-335</pages><isbn>0769535089</isbn><isbn>9780769535081</isbn><abstract>MB1 is a very promising steganography. In this paper, a novel steganalysis scheme is presented to detect MB1. Many experiments are carried out based on high order features, and some useful propositions are learned from those experimental results. Based on those propositions we propose an effective MB1 detection algorithm. Experimental results show that the new proposed method has outperformed the existing MB1 steganalysis method in detection reliability.</abstract><pub>IEEE</pub><doi>10.1109/CIS.2008.35</doi><tpages>6</tpages></addata></record> |
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ispartof | 2008 International Conference on Computational Intelligence and Security, 2008, Vol.2, p.330-335 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Calibration Computational intelligence Computer science Computer security Detection algorithms Higher order statistics Histograms Information security MB1 steganalysis Steganography |
title | Detecting the MB1 with Higher-Order Statistics |
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