Results 11 to 20 of about 6,150 (193)
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
doaj +2 more sources
Extensible Steganalysis via Continual Learning
Fractal and Fractional, 2022 To realize secure communication, steganography is usually implemented by embedding secret information into an image selected from a natural image dataset, in which the fractal images have occupied a considerable proportion.
Zhili Zhou +3 more
doaj +4 more sources
Unsupervised steganalysis based on artificial training sets
Engineering Applications of Artificial Intelligence, 2016 In this paper, an unsupervised steganalysis method that combines artificial training setsand supervised classification is proposed. We provide a formal framework for unsupervisedclassification of stego and cover images in the typical situation of ...
Daniel Lerch-Hostalot, David Megias
exaly +3 more sources
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
doaj +2 more sources
Comprehensive survey on image steganalysis using deep learning
ArraySteganalysis, 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.
Tohari Ahmad, Fengling Han
exaly +3 more sources
Digital Image Steganalysis: Current Methodologies and Future Challenges
IEEE Access, 2022 With the growing use of the internet and social media, data security has become a major issue. Thus, researchers are focusing on data security techniques such as steganography and steganalysis. Steganography is the approach of concealing the existence of
Wafa M. Eid +3 more
doaj +1 more source
Improvement of convolutional neural network structure for image steganalysis [PDF]
Jisuanji gongcheng, 2018 Aiming at the situation that the accuracy of image steganalysis is not high,a steganalysis model of Convolutional Neural Network(CNN) based on Multi-layer percepual convolution layer(Mlpconv) is constructed.The model uses multi-layer perceptual ...
GAO Peixian,WEI Lixian,LIU Jia
doaj +1 more source
Comprehensive Criteria-Based Generalized Steganalysis Feature Selection Method
IEEE Access, 2020 Redundant steganalysis feature components in high-dimensional steganalysis feature of images increase the spatio-temporal complexity of steganalysis and even reduce the detection accuracy of the stego images.
Yihao Wang +4 more
doaj +1 more source
Efficient steganalysis using convolutional auto encoder network to ensure original image quality [PDF]
PeerJ Computer Science, 2021 Steganalysis is the process of analyzing and predicting the presence of hidden information in images. Steganalysis would be most useful to predict whether the received images contain useful information. However, it is more difficult to predict the hidden
Mallikarjuna Reddy Ayaluri +3 more
doaj +2 more sources
Neural Linguistic Steganalysis via Multi-Head Self-Attention
Journal of Electrical and Computer Engineering, 2021 Linguistic steganalysis can indicate the existence of steganographic content in suspicious text carriers. Precise linguistic steganalysis on suspicious carrier is critical for multimedia security.
Sai-Mei Jiao +3 more
doaj +1 more source