Results 21 to 30 of about 5,168 (229)
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
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
BitMix: data augmentation for image steganalysis [PDF]
Electronics Letters, 2020 Convolutional neural networks for image steganalysis demonstrate better performances with employing concepts from high‐level vision tasks. The major employed concept is to use data augmentation to avoid overfitting due to limited data. To augment data without damaging the message embedding, only rotating multiples of
I.‐J. Yu +3 more
openaire +2 more sources
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
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 +1 more source
Steganalysis in resized images [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 It is well known that the security of a given steganographic algorithm strongly depends on the statistical properties of the cover source. In this paper, we study how downsampling affects steganographic security. The secure payload no longer scales according to the square-root law because resizing changes the statistical properties of the cover source.
Jan Kodovsky, Jessica Fridrich
openaire +1 more source
Quantized Gaussian JPEG Steganography and Pool Steganalysis
IEEE Access, 2022 Currently, algorithms for compressed image steganography mainly embed hidden message by minimizing the resulting distortion or statistical detectability.
Mohammed Aloraini +2 more
doaj +1 more source
IET Image Processing, 2023 The steganalysis for JPEG image is an important research topic, as the enormous popularity of JPEG image on Internet. However, the stego noise feature extraction process of the existing deep learning‐based steganalytic methods are not adaptive enough to ...
Wentong Fan +4 more
doaj +1 more source
Spatial Steganalysis Based on Non-Local Block and Multi-Channel Convolutional Networks
IEEE 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
IStego100K: Large-Scale Image Steganalysis Dataset [PDF]
, 2020 Accepted by ...
Yang, Zhongliang +5 more
openaire +2 more sources