A novel anti-collusion audio fingerprinting scheme based on fourier coefficients reversing Li, Ming, Chang, Huimin, Xiang, Yong and An, Dezhi 2020, A novel anti-collusion audio fingerprinting scheme based on fourier coefficients reversing, IEEE Signal Processing Letters, vol. 27, pp. 1794-1798, doi: 10.1109/lsp.2020.3028037. Attached Files Name Description MIMEType Size Downloads Title A novel anti-collusion audio fingerprinting scheme based on fourier coefficients reversing Author(s) Li, Ming Chang, Huimin Xiang, Yong orcid.org/0000-0003-3545-7863 An, Dezhi Journal name IEEE Signal Processing Letters Volume number 27 Start page 1794 End page 1798 Total pages 5 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2020 ISSN 1070-9908 1558-2361 Summary Most anti-collusion audio fingerprinting schemes are aiming at finding colluders from the illegal redistributed audio copies. However, the loss caused by the redistributed versions is inevitable. In this letter, a novel fingerprinting scheme is proposed to eliminate the motivation of collusion attack. The audio signal is transformed to the frequency domain by the Fourier transform, and the coefficients in frequency domain are reversed in different degrees according to the fingerprint sequence. Different from other fingerprinting schemes, the coefficients of the host media are excessively modified by the proposed method in order to reduce the quality of the colluded version significantly, but the imperceptibility is well preserved. Experiments show that the colluded audio cannot be reused because of the poor quality. In addition, the proposed method can also resist other common attacks. Various kinds of copyright risks and losses caused by the illegal redistribution are effectively avoided, which is significant for protecting the copyright of audio. Language eng DOI 10.1109/lsp.2020.3028037 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0906 Electrical and Electronic Engineering 1005 Communications Technologies HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30144801 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 02 Nov 2020, 07:40:15 EST Mon, 02 Nov 2020, 16:51:56 EST Tue, 03 Nov 2020, 04:01:36 EST Tue, 03 Nov 2020, 05:05:16 EST Tue, 03 Nov 2020, 10:35:50 EST Tue, 03 Nov 2020, 10:38:11 EST Sat, 09 Jan 2021, 01:40:56 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 42 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 02 Nov 2020, 16:51:56 EST

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