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Research progress of color image steganalysis

open access: yes网络与信息安全学报
Traditional encrypted communication technologies have been easily detected and have struggled to meet the needs of secure communication. Steganography, capable of hiding information by modifying the carrier, has been utilized to realize covert ...
Meng XU, Xiangyang LUO, Jinwei WANG, Hao WANG
doaj   +2 more sources

FACSNet: Forensics aided content selection network for heterogeneous image steganalysis [PDF]

open access: yesScientific Reports
The main goal of image steganalysis, as a technique of confrontation with steganography, is to determine the presence or absence of secret information in conjunction with the specific statistical characteristics of the carrier.
Siyuan Huang   +4 more
doaj   +2 more sources

Image steganography techniques for resisting statistical steganalysis attacks: A systematic literature review. [PDF]

open access: yesPLoS One
Information hiding in images has gained popularity. As image steganography gains relevance, techniques for detecting hidden messages have emerged. Statistical steganalysis mechanisms detect the presence of hidden secret messages in images, rendering ...
Apau R   +4 more
europepmc   +2 more sources

Digital image steganography and steganalysis: A journey of the past three decades

open access: yesOpen Computer Science, 2020
Steganography is the science and art of covert communication. Conversely, steganalysis is the study of uncovering the steganographic process. The evolution of steganography has been paralleled by the development of steganalysis.
Sahu Aditya Kumar, Sahu Monalisa
doaj   +2 more sources

Digital image steganalysis network strengthening framework based on evolutionary algorithm [PDF]

open access: yesScientific Reports
To solve the problem of increasing network parameters and increasing fitting fluctuation during training due to the improvement or expansion of image steganalysis network, a framework for strengthening steganalysis network was considered.
Yuanyuan Ma   +5 more
doaj   +2 more sources

Steganalysis Network for Weak Steganographic Signal Extraction and Enhancement [PDF]

open access: yesSensors
The purpose of digital image steganalysis is to identify the signal embedded in the natural image by steganography. In the spatial domain, this embedded signal only modifies the image value of the natural image by ±1, and this modification is weak ...
Weilin Liang, Qingguang Li
doaj   +2 more sources

Effects and solutions of Cover-Source Mismatch in image steganalysis

open access: yesSignal Processing: Image Communication, 2020
The Cover-Source Mismatch (CSM) has been long recognized as a major problem in modern steganography and steganalysis. Indeed, while a vast majority of works in steganography and steganalysis had been tailored to a specific reference database, namely ...
Eva Giboulot   +2 more
exaly   +2 more sources

A Low Cost Image Steganalysis by Using Domain Adaptation

open access: yesInternational Journal of Information Science and Management, 2018
Information hiding and data encryption are used widely to protect data and information from anonymous access. In digital world, hiding and encrypting of the desired data into an image is a smart way to protect information with a low cost.
Mohammd Bagher Dastgheib   +2 more
doaj   +2 more sources

Image steganalysis based on CNN-Transformer

open access: yesShenzhen Daxue xuebao. Ligong ban
Current convolutional neural network (CNN) steganalysis models primarily focus on the local features of steganographic images. Although CNNs expand their receptive field by stacking deeper convolutional layers, their ability to extract global features ...
WANG Jiahao, YAN Hongcan, GU Jiantao
doaj   +2 more sources

Security-oriented steganographic payload allocation for multi-remote sensing images [PDF]

open access: yesScientific Reports
Multi-image steganography, a technique for concealing information within multiple carrier mediums, finds remote sensing images to be particularly apt carriers due to their complex structures and abundant texture data.
Tian Wu, Xuan Hu, Chunnian Liu
doaj   +2 more sources

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