Deep Learning-Based Coverless Image Steganography on Medical Images Shared via Cloud [PDF]
Engineering ProceedingsCoverless image steganography is an approach for creating images with intrinsic colour and texture information that contain hidden secret information. Recently, generative adversarial networks’ (GANs) deep learning transformers have been used to generate
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DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models [PDF]
Traditional image steganography focuses on concealing one image within another, aiming to avoid steganalysis by unauthorized entities. Coverless image steganography (CIS) enhances imperceptibility by not using any cover image.
Yiwei Yang +7 more
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IDGAN: Information-Driven Generative Adversarial Network of Coverless Image Steganography [PDF]
Electronics, 2023 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.
Chunying Zhang +7 more
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A Robust Coverless Image Steganography Algorithm Based on Image Retrieval with SURF Features [PDF]
Security and Communication Networks, Volume 2024, Issue 1, 2024.With the advancement of image steganography, coverless image steganography has gained widespread attention due to its ability to hide information without modifying the carrier of images. However, existing coverless image steganography methods often require both communicating parties to transmit an amount of additional information including image blocks’
Fan Li +4 more
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A Robust joint coverless image steganography scheme based on two independent modules [PDF]
CybersecurityWith the development of deep learning technology, great progress has been made in the field of coverless steganography based on deep learning technology, including some selection-based steganography methods that use deep learning technology and all ...
Chang Ren, Bin Wu
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Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]
Sci RepBy eliminating the need to alter the source images, this paper introduces a secure technique for coverless image steganography that strengthens defense against steganalysis attacks.
Salama WM, Aly MH.
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Coverless Steganography for Digital Images Based on a Generative Model [PDF]
Computers, Materials & Continua, 2018 In this paper, we propose a novel coverless image steganographic scheme based on a generative model. In our scheme, the secret image is first fed to the generative model database, to generate a meaning-normal and independent image different from the ...
Chuan Qin +3 more
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Coverless Image Steganography Based on Image Segmentation
Computers, Materials & Continua, 2020 Yuanjing Luo +5 more
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Coverless Image Steganography Using Morphed Face Recognition based on Convolutional Neural Network [PDF]
EURASIP Journal on Wireless Communications and Networking, 2021 Abstract In recent years, information security has become a prime issue of worldwide concern. To improve the validity and proficiency of the image data hiding approach, a piece of state-of-the-art secret information hiding transmission scheme based on morphed face recognition is proposed. In our proposed data hiding approach, a group of morphed
Yung‐Hui Li +5 more
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Secure and Practical High Capacity Coverless Image Steganography Approach : WYSAWIS [PDF]
, 2023 Abstract Rather than directly embed the secret message in pixels of an image, the new concept of coverless image steganography hides a message in a cover image without modifying it, which significantly increases the resilience to image steganalysis tools.
Damaris Belle M. Fotso +3 more
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