Results 41 to 50 of about 278 (129)

C-HIDE: A Steganographic Framework for Robust Data Hiding and Advanced Security Using Coverless Hybrid Image Encryption With AES and ECC

IEEE Access
Coverless image steganography conceals information without modifying the carrier image, addressing vulnerabilities in traditional methods. However, existing approaches often require transmitting metadata, raising suspicion and security risks. To overcome
Sahar A. El-Rahman, Ahmed E. Mansour, Leila Jamel, Manal Abdullah Alohali, Mohamed Seifeldin, Yasmin Alkady   +5 more
doaj   +1 more source

Hiding image into image with hybrid attention mechanism based on GANs

IET Image Processing, Volume 18, Issue 10, Page 2679-2689, 21 August 2024.
We introduce a novel network architecture for image steganography with hybrid attention mechanism based on generative adversarial network. Our model consists of three essential components: a generator, an extractor, and a discriminator. Specifically, we have designed a HAM to guide both the current hiding and extraction processes, aiming to improve the
Yuling Zhu, Yunyun Dong, Bingbing Song, Shaowen Yao   +3 more
wiley   +1 more source

IMPROVED COVERLESS INFORMATION HIDING UTILIZING GENERATIVE MODELS

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
The submitted algorithm increased data-hiding capacity, extended capability, and improved quality of the reconstructed secret image as compared with traditional steganography and existing coverless information-hiding methods.
Zainab Hdeib Al-Shably
doaj   +1 more source

A Fusion Steganographic Algorithm Based on Faster R-CNN [PDF]

The aim of information hiding is to embed the secret message in a normal cover media such as image, video, voice or text, and then the secret message is transmitted through the transmission of the cover media.
Jin Wang, Ruohan Meng, Steven G. Rice, Xingming Sun   +3 more
core   +1 more source

SIHNet: A safe image hiding method with less information leaking

IET Image Processing, Volume 18, Issue 10, Page 2800-2815, 21 August 2024.
We propose a reversible secret image processing (SIP) module to make the secret images suitable for hiding and make the stego images leak less secret information. Besides, we use a reversible lost information hiding (LIH) module to hide the lost information into the cover images, thus our method can recover the secret images better than other methods ...
Zien Cheng, Xin Jin, Qian Jiang, Liwen Wu, Yunyun Dong, Wei Zhou   +5 more
wiley   +1 more source

Review on feature-based method performance in text steganography [PDF]

The implementation of steganography in text domain is one the crutial issue that can hide an essential message to avoid the intruder. It is caused every personal information mostly in medium of text, and the steganography itself is expectedly as the ...
Din, Roshidi, Hussain, Hanizan Shaker, Muhammad, Mohd Hilal, Samad, Hafiza, Utama, Sunariya   +4 more
core   +1 more source

A Robust Coverless Image Steganography Algorithm Based on Image Retrieval with SURF Features

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, Chenyang Liu, Zhenbo Dong, Zhibo Sun, Weipeng Qian, Zahid Mehmood   +5 more
wiley   +1 more source

SteganoBook: A Hybrid NFC and Snellen-Based Steganography Framework with Multi-Layer Security

Kafrelsheikh Journal of Information Sciences
The rapid evolution of digital communication that has intensified the need for robust data protection methods that resist steganalysis while maintaining high security.
Mohamed Mansour, Ahmed Elsawy, Al-hussien Saad   +2 more
doaj   +1 more source

Embedding Image Through Generated Intermediate Medium Using Deep Convolutional Generative Adversarial Network [PDF]

Deep neural network has proven to be very effective in computer vision fields. Deep convolutional network can learn the most suitable features of certain images without specific measure functions and outperform lots of traditional image processing ...
Chuanlong Li, Marta Cheslyar, Yumeng Jiang   +2 more
core   +1 more source

Effectiveness of the Spatial Domain Techniques in Digital Image Steganography

Qubahan Academic Journal
Digital steganography is a new and extremely demanding method for transmitting information securely over the internet while employing a covert device. Since its inception in the 1990s till the present, digital steganography has a lengthy history.
Rosshini Selvamani, Yusliza Yusoff
doaj   +1 more source