Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6070
Title: A Cost-Effective Decision Tree Based Approach to Steganalysis
Authors: Li, Liyun
Sencar, Hüsrev Taha
Memon, Nasir
Keywords: computational cost effective
decision tree
steganography
Issue Date: 2013
Publisher: Spie-Int Soc Optical Engineering
Source: Conference on Media Watermarking, Security, and Forensics -- FEB 05-07, 2013 -- Burlingame, CA
Series/Report no.: Proceedings of SPIE
Abstract: An important issue concerning real-world deployment of steganalysis systems is the computational cost of acquiring features used in building steganalyzers. Conventional approach to steganalyzer design crucially assumes that all features required for steganalysis have to be computed in advance. However, as the number of features used by typical steganalyzers grow into thousands and timing constraints are imposed on how fast a decision has to be made, this approach becomes impractical. To address this problem, we focus on machine learning aspect of steganalyzer design and introduce a decision tree based approach to steganalysis. The proposed steganalyzer system can minimize the average computational cost for making a steganalysis decision while still maintaining the detection accuracy. To demonstrate the potential of this approach, a series of experiments are performed on well known steganography and steganalysis techniques.
URI: https://doi.org/10.1117/12.2008527
https://hdl.handle.net/20.500.11851/6070
ISBN: 978-0-8194-9438-2
ISSN: 0277-786X
1996-756X
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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