Generative Audio Steganography Algorithm


연구 분야: Strategies



학회: 2024 XXXIII International Scientific Conference Electronics (ET)


초록

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.


Author Profile
Snezhana Pleshkova

Department of Radio Communications and Video Technologies Faculty of Telecommunications Technical University of Sofia 8 Kliment Ohridski blvd Sofia Bulgaria

Andorra
Author Profile
Alexander Bekiarski

Department of Radio Communications and Video Technologies Faculty of Telecommunications Technical University of Sofia 8 Kliment Ohridski blvd Sofia Bulgaria

Andorra

📄 논문 정보

발행 연도 2024년
인용수 1
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

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