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Coverless Image Steganography: A Survey

open access: yesIEEE Access, 2019
With the digitalization of information, a lot of multimedia data are under attack, information security has become a key issue of public concern. Image steganography, aiming at using cover images to convey secret information has become one of the most ...
Jiaohua Qin   +4 more
doaj   +4 more sources

Coverless image steganography based on DenseNet feature mapping [PDF]

open access: yesEURASIP Journal on Image and Video Processing, 2020
Since the concept of coverless information hiding was proposed, it has been greatly developed due to its effectiveness of resisting the steganographic tools. Most existing coverless image steganography (CIS) methods achieve excellent robustness under non-
Qiang Liu   +4 more
doaj   +4 more sources

Coverless Image Steganography Based on Optical Mark Recognition and Machine Learning [PDF]

open access: yesIEEE Access, 2021
The most significant factor to consider during private information transmission through the internet (i.e., insecure channel) is security. So, to keep this data from unauthorized access during transmission, steganography is used.
Al Hussien S. Saad   +2 more
doaj   +4 more sources

Coverless Image Steganography Based on Generative Adversarial Network [PDF]

open access: yesMathematics, 2020
Traditional image steganography needs to modify or be embedded into the cover image for transmitting secret messages. However, the distortion of the cover image can be easily detected by steganalysis tools which lead the leakage of the secret message. So
Jiaohua Qin   +5 more
doaj   +4 more sources

Robust coverless steganography using limited mapping images

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Coverless image steganography (CIS) has attracted significant attention because it can fundamentally resist steganalysis tools. Available CIS schemes are mainly divided into synthesis-based and mapping-based schemes.
Xiyao Liu   +5 more
doaj   +2 more sources

Coverless image steganography using morphed face recognition based on convolutional neural network [PDF]

open access: yesEURASIP Journal on Wireless Communications and Networking, 2022
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

Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]

open access: yesSci Rep
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

A Survey Paper of Information Hiding by Using Steganography Techniques [PDF]

open access: yesKafrelsheikh Journal of Information Sciences, 2022
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

Steganographic secret sharing via AI-generated photorealistic images

open access: yesEURASIP Journal on Wireless Communications and Networking, 2022
Steganographic secret sharing is an access control technique that transforms a secret message into multiple shares in a steganographic sense. Each share is in a human-readable format in order to dispel suspicion from a malicious party during transmission
Kai Gao   +3 more
doaj   +1 more source

FakeSafe: Human Level Steganography Techniques by Disinformation Mapping Using Cycle-Consistent Adversarial Network

open access: yesIEEE Access, 2021
Steganography is the task of concealing a message within an overt medium such that the presence of the hidden message is barely detectable. Recently, myriads of works have introduced the inchoate techniques of deep learning to the field of steganography.
He Zhu, Dianbo Liu
doaj   +1 more source

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