An Artificial Neural Network for Wavelet Steganalysis

dc.contributor.author Davidson, Jennifer
dc.contributor.author Bergman, Clifford
dc.contributor.author Bartlett, Eric
dc.contributor.department Mathematics
dc.date 2018-02-15T19:38:32.000
dc.date.accessioned 2020-06-30T06:00:43Z
dc.date.available 2020-06-30T06:00:43Z
dc.date.copyright Sat Jan 01 00:00:00 UTC 2005
dc.date.embargo 2015-02-03
dc.date.issued 2005-01-01
dc.description.abstract <p>Hiding messages in image data, called steganography, is used for both legal and illicit purposes. The detection of hidden messages in image data stored on websites and computers, called steganalysis, is of prime importance to cyber forensics personnel. Automating the detection of hidden messages is a requirement, since the shear amount of image data stored on computers or websites makes it impossible for a person to investigate each image separately. This paper describes research on a prototype software system that automatically classifies an image as having hidden information or not, using a sophisticated artificial neural network (ANN) system. An ANN software package, the ISU ACL NetWorks Toolkit, is trained on a selection of image features that distinguish between stego and nonstego images. The novelty of this ANN is that it is a blind classifier that gives more accurate results than previous systems. It can detect messages hidden using a variety of different types of embedding algorithms. A Graphical User Interface (GUI) combines the ANN, feature selection, and embedding algorithms into a prototype software package that is not currently available to the cyber forensics community.</p>
dc.description.comments <p>This article is from <em>Proceedings of SPIE--The International Society for Optical Engineering, </em>5916,<em> </em>Mathematical Methods in Pattern and Image Analysis: 1-10. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/math_pubs/5/
dc.identifier.articleid 1003
dc.identifier.contextkey 6602266
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath math_pubs/5
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/54646
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/math_pubs/5/2005_Bergman_ArtificialNeural.pdf|||Sat Jan 15 00:33:06 UTC 2022
dc.subject.disciplines Electrical and Computer Engineering
dc.subject.disciplines Information Security
dc.subject.disciplines Mathematics
dc.subject.disciplines Systems and Communications
dc.subject.keywords steganalysis
dc.subject.keywords blind steganalysis
dc.subject.keywords steganography
dc.subject.keywords artificial neural network
dc.subject.keywords data hiding
dc.subject.keywords ACL Toolkit
dc.title An Artificial Neural Network for Wavelet Steganalysis
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication ff2cb02a-ee5f-4bb0-a939-4cdd406e54fa
relation.isOrgUnitOfPublication 82295b2b-0f85-4929-9659-075c93e82c48
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