Article

Audio watermark attacks: from single to profile attacks

Authors:

Claus VielhauerAuthors Info & Claims

MM&Sec '05: Proceedings of the 7th workshop on Multimedia and security

Pages 39 - 50

https://doi.org/10.1145/1073170.1073179

Published: 01 August 2005 Publication History

Abstract

A wide range of watermarking evaluation approaches and especially image benchmarking suites have been described in the literature. Our paper sets the main focus on the evaluation of digital audio watermarking with StirMark Benchmark for Audio (SMBA). Here we describe the currently implemented single geometric attacks in detail and introduce our so-called attack profiles. Profiles reflect an application oriented point of view ranging from the normal usage of audio content like internet radio or music shops up to typical attacker scenarios. In particular we present a definition of an extended profile which is composed of three basic profiles specific for annotation watermarks. Furthermore, we demonstrate how SMBA attacks can be used to evaluate the transparency of digital watermarking algorithms regarding the embedding strength. Test results based on an example audio watermarking algorithm and the measurement of transparency and capacity are presented.

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Tarhouni NMasmoudi SCharfeddine MAmar C(2022)Fake COVID-19 videos detector based on frames and audio watermarkingMultimedia Systems10.1007/s00530-022-01006-529:1(361-375)Online publication date: 27-Sep-2022
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Index Terms

Audio watermark attacks: from single to profile attacks

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Published In

cover image ACM Conferences

MM&Sec '05: Proceedings of the 7th workshop on Multimedia and security

August 2005

164 pages

ISBN:1595930329

DOI:10.1145/1073170

General Chair:
Ahmet Eskicioglu
CUNY New York
,
Program Chairs:
Jessica Fridrich
SUNY Binghamton
,
Jana Dittmann
University of Magdeburg, Germany

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 August 2005

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MM&Sec '05

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MM&Sec '05: Multimedia and Security Workshop 2005

August 1 - 2, 2005

NY, New York, USA

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Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

Moussa KElsherif M(2022)A New Hybrid Steganography Scheme Employing A Time-Varying Delayed Chaotic Neural Network2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)10.1109/CyberC55534.2022.00032(152-157)Online publication date: Oct-2022
https://doi.org/10.1109/CyberC55534.2022.00032
Tarhouni NMasmoudi SCharfeddine MAmar C(2022)Fake COVID-19 videos detector based on frames and audio watermarkingMultimedia Systems10.1007/s00530-022-01006-529:1(361-375)Online publication date: 27-Sep-2022
https://doi.org/10.1007/s00530-022-01006-5
Budiman GSuksmono ADanudirdjo D(2020)Compressive Sampling with Multiple Bit Spread Spectrum-Based Data HidingApplied Sciences10.3390/app1012433810:12(4338)Online publication date: 24-Jun-2020
https://doi.org/10.3390/app10124338
Djaziri-Larbi STurki-Haj Alouane M(2019)Spread spectrum data embedding in audio with UISA based cooperative detectionMultimedia Tools and Applications10.1007/s11042-019-07845-1Online publication date: 1-Aug-2019
https://doi.org/10.1007/s11042-019-07845-1
Cichowski JCzyżewski AKostek B(2019)Analysis of impact of audio modifications on the robustness of watermark for non-blind architectureMultimedia Tools and Applications10.1007/s11042-013-1636-074:12(4415-4435)Online publication date: 17-Jan-2019
https://dl.acm.org/doi/10.1007/s11042-013-1636-0
Budiman GSuksmono ADanudirdjo DPawellang S(2018)QIM-Based Audio Watermarking with Combined Techniques of SWT-DST-QR-CPT Using SS-Based Synchronization2018 6th International Conference on Information and Communication Technology (ICoICT)10.1109/ICoICT.2018.8528727(286-292)Online publication date: May-2018
https://doi.org/10.1109/ICoICT.2018.8528727
Budiman GSuksmono ADanudirdjo D(2018)CPT-Based Data Hiding in Selected Subband Using Combined Transform and Decomposition Method2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)10.1109/ICCEREC.2018.8712001(86-92)Online publication date: Dec-2018
https://doi.org/10.1109/ICCEREC.2018.8712001
Maung ITew YWong K(2016)Authentication for AAC compressed audio using data hiding2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)10.1109/ICCE-TW.2016.7520956(1-2)Online publication date: May-2016
https://doi.org/10.1109/ICCE-TW.2016.7520956
MaungMaung ITew YWong K(2016)Authentication of MP4 file by joint data embedding in audio and video tracks2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)10.1109/APSIPA.2016.7820780(1-6)Online publication date: Dec-2016
https://doi.org/10.1109/APSIPA.2016.7820780
Mezghani ECharfeddine MBen Amar CNicolas H(2015)Audiovisual video characterization using audio watermarking scheme2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)10.1109/ISDA.2015.7489227(213-218)Online publication date: Dec-2015
https://doi.org/10.1109/ISDA.2015.7489227
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