Lightweight image steganalysis with block-wise pruning [PDF]
Scientific Reports, 2023 Image steganalysis is the task of detecting a secret message hidden in an image. Deep steganalysis using end-to-end deep learning has been successful in recent years, but previous studies focused on improving detection performance rather than designing a
Eungi Hong +3 more
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Sensitivity of deep learning applied to spatial image steganalysis [PDF]
PeerJ Computer Science, 2021 In recent years, the traditional approach to spatial image steganalysis has shifted to deep learning (DL) techniques, which have improved the detection accuracy while combining feature extraction and classification in a single model, usually a ...
Reinel Tabares-Soto +8 more
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Image steganalysis using active learning and hyperparameter optimization [PDF]
Scientific ReportsImage steganalysis, detecting hidden data in digital images, is essential for enhancing digital security. Traditional steganalysis methods typically rely on large, pre-labeled image datasets, which are difficult and costly to compile.
Li Bohang +9 more
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Enhancing Steganography Detection with AI: Fine-Tuning a Deep Residual Network for Spread Spectrum Image Steganography [PDF]
SensorsThis paper presents an extensive investigation into the application of artificial intelligence, specifically Convolutional Neural Networks (CNNs), in image steganography detection. We initially evaluated the state-of-the-art steganalysis model, SRNet, on
Oleksandr Kuznetsov +5 more
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FACSNet: Forensics aided content selection network for heterogeneous image steganalysis [PDF]
Scientific ReportsThe 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
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Digital image steganalysis network strengthening framework based on evolutionary algorithm [PDF]
Scientific ReportsTo 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
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Steganalysis Network for Weak Steganographic Signal Extraction and Enhancement [PDF]
SensorsThe 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
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AGASI: A Generative Adversarial Network-Based Approach to Strengthening Adversarial Image Steganography [PDF]
EntropySteganography has been widely used in the field of image privacy protection. However, with the advancement of steganalysis techniques, deep learning-based models are now capable of accurately detecting modifications in stego-images, posing a significant ...
Haiju Fan, Changyuan Jin, Ming Li
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WPD-based blind image steganalysis
Tongxin xuebao, 2008 Based on wavelet package decomposition（WPD）,a new blind image steganalysis method was presented,which can detect the stego images with comparatively high accuracy.Firstly,by three scales of WPD,image was decomposed into some coefficient subbands,and the ...
LUO Xiang-yang1 +2 more
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Security-oriented steganographic payload allocation for multi-remote sensing images [PDF]
Scientific ReportsMulti-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
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