Results 31 to 40 of about 3,467 (203)

Spatial Steganalysis Based on Non-Local Block and Multi-Channel Convolutional Networks

IEEE Access, 2022
Image steganalysis aims to detect whether secret information is hidden in images and is a means to solve the communication security. Recently, a series of convolutional neural network-based steganalysis models has been proposed and has achieved ...
Xu Han, Tao Zhang
doaj   +1 more source

IAS-CNN: Image adaptive steganalysis via convolutional neural network combined with selection channel

International Journal of Distributed Sensor Networks, 2020
Steganography is conducive to communication security, but the abuse of steganography brings many potential dangers. And then, steganalysis plays an important role in preventing the abuse of steganography.
Zhujun Jin, Yu Yang, Yuling Chen, Yuwei Chen   +3 more
doaj   +1 more source

Preprocessing Enhancement Method for Spatial Domain Steganalysis

Mathematics, 2022
In the field of steganalysis, in recent years, the research focus has mostly been on optimizing the structures of neural networks, while the application of high-pass filters is still limited to the simple selection of filters and simple adjustment of the
Xueming Duan, Chunying Zhang, Yingshuo Ma, Shouyue Liu   +3 more
doaj   +1 more source

Frame-Wise Steganalysis Based on Mask-Gating Attention and Deep Residual Bilinear Interaction Mechanisms for Low-Bit-Rate Speech Streams

Journal of Cybersecurity and Privacy
Frame-wise steganalysis is a crucial task in low-bit-rate speech streams that can achieve active defense. However, there is no common theory on how to extract steganalysis features for frame-wise steganalysis.
Congcong Sun, Azizol Abdullah, Normalia Samian, Nuur Alifah Roslan   +3 more
doaj   +1 more source

A Novel Image Steganography Method via Deep Convolutional Generative Adversarial Networks

IEEE Access, 2018
The security of image steganography is an important basis for evaluating steganography algorithms. Steganography has recently made great progress in the long-term confrontation with steganalysis.
Donghui Hu, Liang Wang, Wenjie Jiang, Shuli Zheng, Bin Li   +4 more
doaj   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Comprehensive survey on image steganalysis using deep learning

Array
Steganalysis, a field devoted to detecting concealed information in various forms of digital media, including text, images, audio, and video files, has evolved significantly over time.
Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Fengling Han   +2 more
doaj   +1 more source

Steganalysis of Hydan [PDF]

, 2009
Hydan is a steganographic tool which can be used to hide any kind of information inside executable files. In this work, we present an efficient distinguisher for it: We have developed a system that is able to detect executable files with embedded information through Hydan.
Blasco, J., Hernandez-Castro, J. C., Tapiador, J. M. E., Ribagorda, A., Orellana-Quiros, M. A.   +4 more
openaire   +3 more sources

Detecting Deepfakes Using Two‐Stream Framework Based on EfficientNet and Vision Transformer

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
The ever‐growing threat of deepfake technology has stimulated research in deepfake forensics to identify the genuineness of media materials on the Internet. The majority of existing techniques employ the convolutional neural network (CNN) framework to identify deepfake by capturing the image’s local features.
Qiang Yang, Yijun Cai, Rong Yan, Guangbin Zhang, Gongping Yang   +4 more
wiley   +1 more source

A comprehensive review of video steganalysis

IET Image Processing, 2022
Steganography is the art of secret communication and steganalysis is the art of detecting the hidden messages embedded in digital media covers. One of the covers that is gaining interest in the field is video. Presently, the global IP video traffic forms
Mourad Bouzegza, Ammar Belatreche, Ahmed Bouridane, Mohamed Tounsi   +3 more
doaj   +1 more source