Autors: Pleshkova, S. G., Bekiarski, A. B.
Title: Generative Audio Steganography Algorithm
Keywords: audio steganography, generative adversarial neural networks, steganography analysis

Abstract: Steganography methods hide information in video or audio records. The main disadvantage is the reduced resistance to hidden information disclosure using today effective and fast stenographic analysis. The algorithm proposed in this article is based on generative adversarial neural networks to direct transformation of the input audio information as steganography data. The algorithm is tested as corresponding program application and the examination of created generative steganography audio data confirm the achieved high resistance to unauthorized recovering.

References

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Issue

2024 33rd International Scientific Conference Electronics, ET 2024 - Proceedings, 2024, , https://doi.org/10.1109/ET63133.2024.10721560

Цитирания (Citation/s):
1. Hidayat R., Chanda D'Layla A.W., De La Croix N.J., Ahmad T., Enhanced Data Hiding Based on First, Middle, and Last Order Pixel in Spatial Domain Images, 2025, International Conference on Signal Processing and Communication, ICSC, issue 2025, pp. 76-81, DOI 10.1109/ICSC64553.2025.10967855, issn 26434458, eissn 2643444X - 2025 - в издания, индексирани в Scopus

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus