MP3 Audio watermarking using calibrated side information features for tamper detection and localization.

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Title: MP3 Audio watermarking using calibrated side information features for tamper detection and localization.
Authors: Masmoudi, Salma1 (AUTHOR) salma.masmoudi@gmail.com, Charfeddine, Maha1 (AUTHOR), Ben Amar, Chokri2 (AUTHOR)
Source: Multimedia Tools & Applications. Jul2024, Vol. 83 Issue 24, p64637-64662. 26p.
Subjects: Digital watermarking, MPEG (Video coding standard), Calibration
Abstract: Audio contents are frequently stocked up and transmitted in compressed formats. Among the many existing audio compression schemes, MPEG-1 Audio Layer III (MP3) is very popular and still widely spread. Therefore, this paper represents a tamper detection method for MP3 files based on watermarking operating directly in the compression domain using Huffman data and recompression calibration. This method is based on a set of side information features embedded in the MP3 audio file as a watermark and used later to decide if the frame is doubly compressed. The detection of doubly compressed frames or singly compressed frames makes the selection of tampered frames possible. We made experiments on a set of MP3 audio clips to evaluate our method. Experimental results validate the efficiency of our approach compared to other methods from the literature. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: MP3 Audio watermarking using calibrated side information features for tamper detection and localization.
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  Data: <searchLink fieldCode="AR" term="%22Masmoudi%2C+Salma%22">Masmoudi, Salma</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> salma.masmoudi@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Charfeddine%2C+Maha%22">Charfeddine, Maha</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ben+Amar%2C+Chokri%22">Ben Amar, Chokri</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Jul2024, Vol. 83 Issue 24, p64637-64662. 26p.
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  Data: <searchLink fieldCode="DE" term="%22Digital+watermarking%22">Digital watermarking</searchLink><br /><searchLink fieldCode="DE" term="%22MPEG+%28Video+coding+standard%29%22">MPEG (Video coding standard)</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink>
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  Data: Audio contents are frequently stocked up and transmitted in compressed formats. Among the many existing audio compression schemes, MPEG-1 Audio Layer III (MP3) is very popular and still widely spread. Therefore, this paper represents a tamper detection method for MP3 files based on watermarking operating directly in the compression domain using Huffman data and recompression calibration. This method is based on a set of side information features embedded in the MP3 audio file as a watermark and used later to decide if the frame is doubly compressed. The detection of doubly compressed frames or singly compressed frames makes the selection of tampered frames possible. We made experiments on a set of MP3 audio clips to evaluate our method. Experimental results validate the efficiency of our approach compared to other methods from the literature. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11042-024-18202-2
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      – Code: eng
        Text: English
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      – SubjectFull: MPEG (Video coding standard)
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      – SubjectFull: Calibration
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      – TitleFull: MP3 Audio watermarking using calibrated side information features for tamper detection and localization.
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              Text: Jul2024
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