%0 Journal Article
%T Passive Steganalysis Based on Higher Order Image Statistics of Curvelet Transform<br>
%A SGeetha
%A Siva SSivatha Sindhu
%A NKamaraj
%A <br>
%J 国际自动化与计算杂志
%D 2010
%I 
%X Steganographic techniques accomplish covert communication by embedding secret messages into innocuous digital images in ways that are imperceptible to the human eye. This paper presents a novel passive steganalysis strategy in which the task is approached as a pattern classification problem. A critical part of the steganalyser design depends on the selection of informative features. This paper is aimed at proposing a novel attack with improved performance indices with the following implications: 1) employing higher order statistics from a curvelet sub-band image representation that offers better discrimination ability for detecting stego anomalies in images, as compared to other conventional wavelet transforms; 2) increasing the sensitivity and specificity of the system by the feature reduction phase; 3) realizing the system using an efficient classification engine, a neuro-C4.5 classifier, which provides better classification rate. An extensive experimental evaluation on a database containing 5600 clean and stego images shows that the proposed scheme is a state-of-the-art steganalyser that outperforms other previous steganalytic methods.
%K Image steganalysis
%K curvelet higher order statistics
%K neuro-C4
%K 5 classifier
%K information forensics
%K information security<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7139AD613512F4F05F6D525B914296AA&aid=E8E2A7A81221D85CCC9D7FC86B583A07&yid=140ECF96957D60B2&vid=DF92D298D3FF1E6E&iid=E158A972A605785F&sid=20ADD38F841C6A4B&eid=8C044EC256B1039D&journal_id=1476-8186&journal_name=国际自动化与计算杂志&referenced_num=0&reference_num=53