Audio steganalysis based on lossless data-compression techniques

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dc.contributor.authorDjebbar, Fatiha
dc.contributor.authorAyad, Beghdad
dc.date.accessioned2020-10-01T13:17:04Z
dc.date.available2020-10-01T13:17:04Z
dc.date.copyright2012
dc.date.issued2012
dc.descriptionThis work is not available in the CUD collection. The version of the scholarly record of this work is published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012), available online at: https://doi.org/10.1007/978-3-642-34129-8_1en_US
dc.description.abstractIn this paper, we introduce a new blind steganalysis method that can reliably detect modifications in audio signals due to steganography. Lossless data-compression ratios are computed from the testing signals and their reference versions and used as features for the classifier design. Additionally, we propose to extract additional features from different energy parts of each tested audio signal to retrieve more informative data and enhance the classifier capability. Support Vector Machine (SVM) is employed to discriminate between the cover- and the stego-audio signals. Experimental results show that our method performs very well and achieves very good detection rates of stego-audio signals produced by S-tools4, Steghide and Hide4PGP. © 2012 Springer-Verlag.en_US
dc.identifier.citationDjebbar, F., Ayad, B. (2012). Audio Steganalysis Based on Lossless Data-Compression Techniques. In T.W. Chim & T.H. Yuen (Eds). Information and Communications Security. ICICS 2012. Lecture Notes in Computer Science, 7618. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34129-8_1en_US
dc.identifier.isbn978-364234128-1
dc.identifier.issn03029743
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-34129-8_1
dc.identifier.urihttp://hdl.handle.net/20.500.12519/246
dc.language.isoenen_US
dc.publisherSpringer Nature Switzerland AGen_US
dc.relationAuthor Affiliations : Djebbar, F., UAE University, United Arab Emirates; Ayad, B., Canadian University, Dubai, United Arab Emirates
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);7618 LNCS
dc.rightsLicense to reuse the abstract has been secured from Springer Nature and Copyright Clearance Center.
dc.rights.holderCopyright : © 2012 Springer-Verlag
dc.rights.urihttps://s100.copyright.com/CustomerAdmin/PLF.jsp?ref=0884c11b-a321-4fa0-8f8e-dd4e4d16052f
dc.subjectActive speech levelen_US
dc.subjectAudio signalen_US
dc.subjectAudio steganalysisen_US
dc.subjectBlind steganalysisen_US
dc.subjectClassifier designen_US
dc.subjectDetection ratesen_US
dc.subjectLosslessen_US
dc.subjectTesting signalen_US
dc.subjectAudio signal processingen_US
dc.subjectSteganographyen_US
dc.subjectSupport vector machinesen_US
dc.subjectData compressionen_US
dc.titleAudio steganalysis based on lossless data-compression techniquesen_US
dc.typeConference Paperen_US
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