Results 51 to 60 of about 3,467 (203)
Steganalysis of Chat based Steganography
Steganalysis is the practice of identifying potential secret communication and taking appropriate action, such as deciphering to uncover the hidden contents or destroying the object containing the hidden information if it cannot be uncovered. At times, it’s very necessary to perform Steganalysis due to the fact that steganography is often ...
openaire +2 more sources
Adversarial Attack Based on Perturbation of Contour Region to Evade Steganalysis-Based Detection
Deep neural networks (DNN) are applied in various fields because they afford good performance. However, they seem vulnerable to adversarial examples. Therefore, studies are actively investigating adversarial defenses to improve the robustness of DNNs as ...
Hyunsik Na, Gwonsang Ryu, Daeseon Choi
doaj +1 more source
A new set of filtering kernels are used for the preprocessing layer to facilitate the extraction of image steganographic features. While using depthwise separable convolution in this model, a new residual network block is also designed to better extract hidden information from images.
Yuanyuan Ma +5 more
wiley +1 more source
An Improved Near‐Reversible Technique With Residual Networks
The study compares three cover‐image extraction subnetworks with varying residual depths, combining convolutional neural networks (CNNs) and Residual Networks (ResNets) to improve cover‐image reconstruction quality, ensuring high‐fidelity, nearly reversible reconstruction.
Tran Thi Ngoc Tin, Yih‐Chuan Lin
wiley +1 more source
Tamper Localisation Using Quantum Fourier Transform Signatures for Medical Image Authentication
We present a tamper‐localisation framework that embeds authentication signatures as phase‐only perturbations in blockwise QFT coefficients using keyed sparse mid‐band supports and light cross‐block coupling, preserving magnitudes (energy) and imperceptibility.
Kumar Sekhar Roy +4 more
wiley +1 more source
The secure steganography for hiding images via GAN
Steganography is one of the important methods in the field of information hiding, which is the technique of hiding secret data within an ordinary file or message in order to avoid the detection of steganalysis models and human eyes. In recent years, many
Zhangjie Fu, Fan Wang, Xu Cheng
doaj +1 more source
JPEG Image Steganography With Automatic Embedding Cost Learning
A great challenge to steganography has arisen with the wide application of steganalysis methods based on convolutional neural networks (CNNs). To this end, embedding cost learning frameworks based on generative adversarial networks (GANs) has been proposed and achieved success for spatial image steganography.
Jianhua Yang +6 more
wiley +1 more source
Leveraging High‐Dimensional Mapping for Effective JPEG Steganalysis
Steganography is a critical information‐hiding technique widely used for the covert transmission of secret information on social media. In contrast, steganalysis plays a key role in ensuring information security. Although various effective steganalysis algorithms have been proposed, existing studies typically treat color images as three independent ...
Meng Xu, Xiangyang Luo, Beijing Chen
wiley +1 more source
Steganography Defense Network Based on Simulation of Steganography Information Distribution
In order to block the spread of illegal stego‐image and reduce the erasing traces of steganography attacks on images, this paper proposes a steganography attack network based on simulation of steganography information distribution. First, a strategy of simulating steganography noise was adopted, and the distribution of steganography noise was learned ...
Jinjin Liu +5 more
wiley +1 more source
Steganalisis digunakan untuk mendeteksi ada atau tidaknya file steganografi. Salah satu kategori steganalisis adalah blind steganalisis, yaitu cara untuk mendeteksi file rahasia tanpa mengetahui metode steganografi apa yang digunakan.
Nurmi Hidayasari +2 more
doaj +1 more source

