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Different attacks presence considerations: analyzing the simple and efficient self-marked algorithm performance for highly-sensitive audio signals contents verification

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Abstract

In this research paper, performance of an efficient audio contents integrity verification algorithm using Discrete Cosine Transform (DCT) has been analyzed and studied in presence the different noise and attacks. This approach of audio contents verification is designed based on a self-mark idea, the embedded mark is generated from the same audio file after transforming the sensitive 2-D audio file into two equal size partitions. Integrity and confidentiality verification of classified recorded audio scenario also, has been tested and evaluated in this research paper using the encryption technique to encrypt the marked audio files. Different computer experiments simulation have been executed to evaluate and analysis the performance of the stand-alone self-mark algorithm and with the encryption stage merging. These experiments tested the performance of these two security approaches with presence different attacks. Reverse processes are executed to verify the contents integrity of the audio files. According to the quality of the extracted audio file from the verification process compared to the original audio file, this audio contents integrity algorithm is applicable and robust. Quality of the extracted audio file is evaluated using the different metrics tools. The different attacks are employed to measure the robustness and reliability of this algorithm. The statistical analysis of the results has been presented, it is proved to have high detection sensitivity to observe and discover any audio manipulations even they were inaudible.

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Data availability

This study data that support the findings are available from the corresponding author upon reasonable request.

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This study was not funded by anyone or any authority.

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Authors and Affiliations

  1. Department of Electronics Technology, Faculty of Technology and Education, Helwan University, Cairo, Egypt

    Mohsen A. M. El-Bendary

  2. Nuclear Research Center, Atomic Energy Authority of Egypt, Cairo, Egypt

    Sabry S. Nassar

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  1. Mohsen A. M. El-Bendary
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  2. Sabry S. Nassar
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Correspondence to Mohsen A. M. El-Bendary.

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Mohsen A. M. El-Bendary declares that he has no conflict of interest. Sabry S. Nassar declares that he has no conflict of interest.

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El-Bendary, M.A.M., Nassar, S.S. Different attacks presence considerations: analyzing the simple and efficient self-marked algorithm performance for highly-sensitive audio signals contents verification. Int J Speech Technol 26, 379–394 (2023). https://doi.org/10.1007/s10772-023-10025-0

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  • DOI: https://doi.org/10.1007/s10772-023-10025-0

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