Results 41 to 50 of about 6,282 (220)

Non-blind steganalysis

open access: yesProceedings of the 15th International Conference on Availability, Reliability and Security, 2020
The increasing digitization offers new ways, possibilities and needs for a secure transmission of information. Steganography and its analysis constitute an essential part of IT-Security. In this work we show how methods of blind-steganalysis can be improved to work in non-blind scenarios.
Niklas Bunzel   +2 more
openaire   +3 more sources

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

open access: yesIEEE 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

GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis

open access: yesIEEE Access, 2021
Advances in Deep Learning (DL) have provided alternative approaches to various complex problems, including the domain of spatial image steganalysis using Convolutional Neural Networks (CNN).
Tabares-Soto Reinel   +9 more
semanticscholar   +1 more source

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

open access: yesInternational 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   +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

open access: yesJournal 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   +3 more
doaj   +1 more source

A Novel Image Steganography Method via Deep Convolutional Generative Adversarial Networks

open access: yesIEEE 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   +4 more
doaj   +1 more source

Preprocessing Enhancement Method for Spatial Domain Steganalysis

open access: yesMathematics, 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   +3 more
doaj   +1 more source

Image Steganalysis of Low Embedding Rate Based on the Attention Mechanism and Transfer Learning

open access: yesElectronics, 2023
In recent years, some research results have been achieved in the field of image steganalysis. However, there are still problems of difficulty in extracting steganographic features from images with low embedding rates and unsatisfactory detection ...
Shouyue Liu   +5 more
semanticscholar   +1 more source

Progressive Randomization for Steganalysis [PDF]

open access: yes2006 IEEE Workshop on Multimedia Signal Processing, 2006
In this paper, we describe a new methodology to detect the presence of hidden digital content in the Least Significant Bits (LSB) of images. We introduce the Progressive Randomization (PR) technique that captures statistical artifacts inserted during the hiding process.
Anderson Rocha 0001, Siome Goldenstein
openaire   +1 more source

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy