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Cryptospace image steganography for cloud security via cycle-consistent GAN
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DOI：10.1016/j.image.2026.117487.png)
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Abstract
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Cryptospace steganography has attracted increasing attention as an effective approach for enhancing data security in cloud environments. This paper proposes a hybrid framework that integrates cycle-consistent generative adversarial networks (CycleGAN) with the difference expansion (DE) technique to provide both image encryption and data hiding services. In the proposed framework, an image encryption network and a data encryption network are designed to encrypt the digital image and secret data, respectively, enabling a key-free architecture. A dropout-driven strategy is further introduced to support secure and isolated access control for multiple user groups on a shared cloud platform. Experimental results show that the proposed method achieves an embedding rate above 0.47 bpp and a secret data extraction accuracy exceeding 91%, demonstrating superior performance compared with state-of-the-art methods.
Keywords:
Crypto-space steganography
Cloud security
CycleGAN
Data hiding
Difference expansion
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2.7
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