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Misconstrued voice on SC-FDMA for secured comprehension - a cooperative influence of DWT and ECC

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Abstract

Audio encryption needs critical attention due to an insecure channel in the wireless medium. This paper presents the first- of- its- kind work addressing a Discrete Wavelet Transform (DWT) and Elliptic Curve Cryptography (ECC) influenced Single Carrier Frequency Division Multiple Access (SC-FDMA) for secure audio data communication. The Percent Residual Deviation, Perceptual Evaluation of Speech Quality histogram, correlation coefficient, Signal to Noise Ratio Test, Peak Signal to Noise Ratio Test, Log-likelihood ratio Test, and Key sensitivity test have been performed to analyse the sternness of the suggested algorithm. Also, the scheme resists brute force, statistical and differential attacks on the encrypted audio. The proposed algorithm offers an average NSCR and UACI of 99.9819 and 33.5938, respectively.

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Acknowledgements

Authors thank the Department of Science & Technology, New Delhi, for the FIST funding (SR/FST/ET-I/2018/221(C)). In addition, the authors wish to thank SASTRA-Keysight Centre for Excellence in RF System Engineering at the School of Electrical & Electronics Engineering, SASTRA Deemed University, for providing infrastructural support to carry out this research work.

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  1. Faculty School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India

    V. M. Padmapriya, K. Thenmozhi, Padmapriya Praveenkumar & Rengarajan Amirtharajan

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  1. V. M. Padmapriya
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  2. K. Thenmozhi
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  3. Padmapriya Praveenkumar
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  4. Rengarajan Amirtharajan
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Padmapriya, V.M., Thenmozhi, K., Praveenkumar, P. et al. Misconstrued voice on SC-FDMA for secured comprehension - a cooperative influence of DWT and ECC. Multimed Tools Appl 81, 7201–7217 (2022). https://doi.org/10.1007/s11042-022-11996-z

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