Digital image steganography survey and investigation (goal, assessment, method, development, and dataset)
Digital steganography has a long history, starting to be developed in the 90s until now. The
main aspects of early steganography are security, imperceptibility, and payload. Security is …
main aspects of early steganography are security, imperceptibility, and payload. Security is …
An overview on image forensics
A Piva - International Scholarly Research Notices, 2013 - Wiley Online Library
The aim of this survey is to provide a comprehensive overview of the state of the art in the
area of image forensics. These techniques have been designed to identify the source of a …
area of image forensics. These techniques have been designed to identify the source of a …
Large-capacity image steganography based on invertible neural networks
SP Lu, R Wang, T Zhong… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Many attempts have been made to hide information in images, where the main challenge is
how to increase the payload capacity without the container image being detected as …
how to increase the payload capacity without the container image being detected as …
Deep residual network for steganalysis of digital images
M Boroumand, M Chen, J Fridrich - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Steganography detectors built as deep convolutional neural networks have firmly
established themselves as superior to the previous detection paradigm-classifiers based on …
established themselves as superior to the previous detection paradigm-classifiers based on …
Constrained convolutional neural networks: A new approach towards general purpose image manipulation detection
Identifying the authenticity and processing history of an image is an important task in
multimedia forensics. By analyzing traces left by different image manipulations, researchers …
multimedia forensics. By analyzing traces left by different image manipulations, researchers …
Image steganography in spatial domain: A survey
This paper presents a literature review of image steganography techniques in the spatial
domain for last 5 years. The research community has already done lots of noteworthy …
domain for last 5 years. The research community has already done lots of noteworthy …
Adaptive payload distribution in multiple images steganography based on image texture features
With the coming era of cloud technology, cloud storage is an emerging technology to store
massive digital images, which provides steganography a new fashion to embed secret …
massive digital images, which provides steganography a new fashion to embed secret …
Deep learning hierarchical representations for image steganalysis
J Ye, J Ni, Y Yi - IEEE Transactions on Information Forensics …, 2017 - ieeexplore.ieee.org
Nowadays, the prevailing detectors of steganographic communication in digital images
mainly consist of three steps, ie, residual computation, feature extraction, and binary …
mainly consist of three steps, ie, residual computation, feature extraction, and binary …
Depth-wise separable convolutions and multi-level pooling for an efficient spatial CNN-based steganalysis
For steganalysis, many studies showed that convolutional neural network (CNN) has better
performances than the two-part structure of traditional machine learning methods. Existing …
performances than the two-part structure of traditional machine learning methods. Existing …
Detecting GAN generated fake images using co-occurrence matrices
L Nataraj, TM Mohammed, S Chandrasekaran… - arXiv preprint arXiv …, 2019 - arxiv.org
The advent of Generative Adversarial Networks (GANs) has brought about completely novel
ways of transforming and manipulating pixels in digital images. GAN based techniques such …
ways of transforming and manipulating pixels in digital images. GAN based techniques such …