A Robust joint coverless image steganography scheme based on two independent modules
With 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
exaly +3 more sources
A Coverless Audio Steganography Based on Generative Adversarial Networks
Traditional audio steganography by cover modification causes changes to the cover features during the embedding of a secret, which is easy to detect with emerging neural-network steganalysis tools. To address the problem, this paper proposes a coverless audio-steganography model to conceal a secret audio.
Kaixi Wang
exaly +3 more sources
A Novel Steganography Scheme Combining Coverless Information Hiding and Steganography
At present, the coverless information hiding has been developed. However, due to the limited mapping relationship between secret information and feature selection, it is challenging to further enhance the hiding capacity of coverless information hiding.
Ruohan Meng +4 more
openaire +2 more sources
Coverless Steganography Based on Low Similarity Feature Selection in DCT Domain [PDF]
Coverless image steganography typically extracts feature sequences from cover images to map information. Once the extracted features have high similarity, it is challenging to construct a complete mapping sequence set, which places a heavy burden on the ...
L. Tan, J. Liu, Y. Zhou, R. Chen
doaj +2 more sources
Coverless Video Steganography Based on Audio and Frame Features
The coverless steganography based on video has become a research hot spot recently. However, the existing schemes usually hide secret information based on the single-frame feature of video and do not take advantage of other rich features. In this work, we propose a novel coverless steganography, which makes full use of the audio and frame image ...
Chunhu Zhang +3 more
openaire +2 more sources
Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]
By 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.
europepmc +2 more sources
Coverless image steganography using morphed face recognition based on convolutional neural network [PDF]
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 ...
Yung-Hui Li +5 more
doaj +2 more sources
Deep Learning-Based Coverless Image Steganography on Medical Images Shared via Cloud
Coverless 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
Ambika +2 more
doaj +2 more sources
A Survey Paper of Information Hiding by Using Steganography Techniques [PDF]
The practice of hiding communication by enclosing data in other data is known as steganography. There are many different carrier file kinds available, but due to their popularity on the Internet, digital photographs are the most popular.
Abdelmgeid Ali +2 more
doaj +1 more source
Coverless Image Steganography: Review
Many of the existing image steganographic techniques embed secret information into cover images by slightly altering their contents. These modifications have several effects, on the other hand, Stego-images distorted by these problems become vulnerable to steganalysis tools. Coverless information hiding represents a solution to this problem.
Shler Farhad Khorshid +1 more
openaire +1 more source

