An autoregressive time delay neural network for speech steganalysis

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dc.contributor.authorRekik, Siwar
dc.contributor.authorSelouani, Sid-Ahmed
dc.contributor.authorGuerchi, Driss
dc.contributor.authorHamam, Habib
dc.date.accessioned2020-01-30T05:56:40Z
dc.date.available2020-01-30T05:56:40Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.descriptionThis conference paper is not available at CUD collection. The version of scholarly record of this Conference Paper is published in 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) (2012), available online at: https://ieeexplore.ieee.org/document/6310612.en_US
dc.description.abstractHiding a secret message in speech signal, called steganography, is used to provide secure communication. The detection of hidden information in the transmitted message called steganalysis. The purpose of steganalysis is to identify the presence of embedded information, and does not actually attempt to extract or decode the hidden data. An automated method is required for detecting the existence of hidden message, since the huge amount of channeled information. However, the development and evaluation of steganalysis algorithms is a challenging task. In this paper we advocate a new steganalysis technique to classify a speech as having hidden information or not, using a powerful and sophisticated classifier called Autoregressive Time Delay Neural Network (AR-TDNN). The originality of this AR-TDNN is its quite ability to detect secret messages hidden with different steganographic algorithms, although the variation of detection rate depends on the particular hiding techniques and amount of hidden information. © 2012 IEEE.en_US
dc.identifier.citationRekik, S., Selouani, S.-A., Guerchi, D., & Hamam, H. (2012). An autoregressive time delay neural network for speech steganalysis. In 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 (pp. 54–58). https://doi.org/10.1109/ISSPA.2012.6310612en_US
dc.identifier.isbn9781467303828
dc.identifier.urihttp://dx.doi.org/10.1109/ISSPA.2012.6310612
dc.identifier.urihttps://hdl.handle.net/20.500.12519/81
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relationAuthors Affiliations: Rekik, S., Université de Bretagne, Occidentale, Brest, 29200, France; Selouani, S.-A., University of Moncton, 218 Bvd. J-D. Gauthier, E8S 1P6 Shippagan, Canada; Guerchi, D., Canadian University of Dubai, Sheikh Zayed Road, Dubai, United Arab Emirates; Hamam, H., University of Moncton, Campus d'Edmundston, E3V 2S8, Canada
dc.relation.ispartofseries2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012;
dc.rightsPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holderCopyright : 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectAuto-regressiveen_US
dc.subjectAutomated methodsen_US
dc.subjectData hidingen_US
dc.subjectDetection ratesen_US
dc.subjectEmbedded informationen_US
dc.subjectHidden informationen_US
dc.subjectHidden messagesen_US
dc.subjectSecret messagesen_US
dc.subjectSecure communicationsen_US
dc.subjectSpeech signalsen_US
dc.subjectSteganalysisen_US
dc.subjectSteganographic algorithmsen_US
dc.subjectTime delay neural networksen_US
dc.subjectAlgorithmsen_US
dc.subjectComputer simulationen_US
dc.subjectInformation scienceen_US
dc.subjectNeural networksen_US
dc.subjectTime delayen_US
dc.subjectSteganographyen_US
dc.titleAn autoregressive time delay neural network for speech steganalysisen_US
dc.typeConference Paperen_US

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