IDGAN: Information-Driven Generative Adversarial Network of Coverless Image Steganography

IDGAN: Information-Driven Generative Adversarial Network of Coverless Image Steganography

Traditional image steganography techniques complete the steganography process by embedding secret information into cover images, but steganalysis tools can easily detect detectable pixel changes that lead to the leakage of confidential information. The use of a generative adversarial network (GAN) m...

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Bibliographic Details
Main Authors: Chunying Zhang, Xinkai Gao, Xiaoxiao Liu, Wei Hou, Guanghui Yang, Tao Xue, Liya Wang, Lu Liu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Electronics
Subjects:
coverless steganography
generative adversarial network
attention mechanisms
image interpolation
dense convolutional network
Online Access:https://www.mdpi.com/2079-9292/12/13/2881

Internet

https://www.mdpi.com/2079-9292/12/13/2881

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