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Hiding images within audio using deep generative model

  • 1215: Multimodal Interaction and IoT Applications
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Abstract

Image steganography is a procedure of hiding any messages within an image. In this paper, our major goal is to conceal images within audio, and we converted this audio steganography problem to image steganography by utilizing the mel-spectrogram of the audio files as the cover medium. Previously, this audio steganography problem was implemented using statistical methods like least significant bit (LSB) encoding. Here we explore the use of deep neural networks (DNNs), and we propose a new technique to hide images within the audio using deep generative models which allow us to optimize the perceptual quality of the reconstructed audio and image by our model. We showed that our model efficiently hides images within audio and evades detection by steganalysis tools, is robust to different color spectrum images, and can hide multiple image data in single audio.

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Acknowledgements

We would like to thank Ms. Aswathy P, research Scholar, Avionics, Department, IIST Trivandrum for her constant support and intellectual assistance in organizing this paper.

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  1. Electronics and Communication Engineering, Department of Avionics, Indian Institute of Space Science and Technology (IIST), Trivandrum, 695547, Kerala, India

    Subhajit Paul & Deepak Mishra

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  1. Subhajit Paul
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  2. Deepak Mishra
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Correspondence to Subhajit Paul.

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Paul, S., Mishra, D. Hiding images within audio using deep generative model. Multimed Tools Appl 82, 5049–5072 (2023). https://doi.org/10.1007/s11042-022-13034-4

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  • DOI: https://doi.org/10.1007/s11042-022-13034-4

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