Ambiguity attacks on SVD audio watermarking approach using chaotic encrypted images
| Autor: | Mourad Djellab, Khaled Loukhaoukha, Noureddine Mehallegue, Khalil Zebbiche, Ahmed Refaey |
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| Rok vydání: | 2019 |
| Předmět: |
Audio signal
Computer Networks and Communications business.industry Computer science Data_MISCELLANEOUS Chaotic ComputingMilieux_LEGALASPECTSOFCOMPUTING 020207 software engineering Watermark Pattern recognition 02 engineering and technology Encryption Hardware and Architecture Information hiding Singular value decomposition 0202 electrical engineering electronic engineering information engineering Media Technology Artificial intelligence business Digital watermarking Software |
| Zdroj: | Multimedia Tools and Applications. 79:2031-2045 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-019-08271-z |
| Popis: | In this paper, we study the robustness of the proposed watermarking algorithm by Al-Nuaimy et al. (Digit Signal Process 21(6):764–779 2011) for audio signals which is based on singular value decomposition (SVD). It has been concluded that it is fundamentally flawed in its design, in that it falls to two ambiguity attacks where the extracted watermark is not the embedded one but determined by the reference watermark. In the first attack, when a watermarked audio signal is rewatermarked by an attacker’s watermark, this one can be easily extracted to claim ownership of the original audio signal. In the second attack, during the extracting process when an attacker uses the singular vectors of his watermark, he can extract the attacker’s watermark. Therefore, he can claim ownership of the watermarked audio signal. The experimental results prove that the proposed attacks create a false positive detection in watermark extraction. Therefore, Al-Nuaimy et al. algorithm cannot be used for security systems, data hiding and copyright protection. |
| Databáze: | OpenAIRE |
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