Results 201 to 210 of about 6,801,187 (249)

Quantitative steganalysis of binary images

2004 International Conference on Image Processing, 2004. ICIP '04., 2005
We propose a quantitative steganalysis method to detect hidden information embedded by flipping pixels along boundaries in binary images. We model steganographic embedding as an additive noise process and use compression rate as a distinguishing statistic that aids in discriminating between stego-images and cover-images.
Ming Jiang 0006, Nasir D. Memon, Edward K. Wong, Xiaolin Wu 0001   +3 more
openaire   +1 more source

Metric learning for image steganalysis

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
Image steganalysis based on supervised distance metric learning is to find an appropriate measure of similarity between image features where the distribution discrepancy between cover-images and stego-images are analyzed in the reduced dimensional space.
Guoming Chen 0001, Qiang Chen, Dong Zhang 0002   +2 more
openaire   +1 more source

Image Steganalysis Based on Dual-Path Enhancement and Fractal Downsampling

IEEE Transactions on Information Forensics and Security
Image steganalysis has always been an important topic in the field of information security, and researchers have designed many excellent steganalysis models.
Tong Fu, Liquan Chen, Yinghua Jiang, Ju Jia, Zhangjie Fu   +4 more
semanticscholar   +1 more source

EIS-OBEA: Enhanced Image Steganalysis via Opposition-Based Evolutionary Algorithm

IEEE Transactions on Information Forensics and Security
Recent years have witnessed a spurt progress in steganography, which poses challenges for steganalysis. However, previous steganalysis methods attach equal attention to various feature information, while key feature information in detection is ...
Yuanyuan Ma, Lige Xu, Qianqian Zhang, Yi Zhang, Xianwei Xin, Xiangyang Luo   +5 more
semanticscholar   +1 more source

Adaptive Image Steganalysis

Multimedia Tools and Applications, 2017
Image steganography is the process of sending messages secretly by hiding the message in AN image content. Although steganography hides information in any kinds of digital mediums, digital images are the most popular carrier because of the frequency of usage in the internet.
openaire   +1 more source

Halftone Image Steganalysis by Reconstructing Grayscale Image

2021
Utilizing some special pixels patterns constructing the steganalytic features is popular in binary image steganalysis, which could be also used in halftone image. There is almost no specific image steganalysis for halftone image. In this paper, a halftone image steganalysis scheme is proposed and achieves a satisfactory performance, which is totally ...
Junwei Luo, Cong Lin, Lingwen Zeng, Jifan Liang, Wei Lu   +4 more
openaire   +1 more source

AAS: Automatic Virtual Data Augmentation for Deep Image Steganalysis

IEEE Transactions on Dependable and Secure Computing
In recent years, steganalysis based on deep learning has evolved rapidly. However, training deep learning models is data-consuming. The models are prone to overfitting when data is limited. Data augmentation is an effective method to mitigate overfitting.
Jiansong Zhang, Kejiang Chen, Chuan Qin, Weiming Zhang, Neng H. Yu   +4 more
semanticscholar   +1 more source

Embedding Probability Guided Network for Image Steganalysis

IEEE Signal Processing Letters, 2021
Content-adaptive steganography embeds information into the cover image adaptively under the guidance of embedding probabilities (also known as selection channel) of the image elements, which can also be obtained by the steganalyzer.
Qiangjie Li, Guorui Feng, Yanli Ren, Xinpeng Zhang   +3 more
semanticscholar   +1 more source

Steganalysis Based on Difference Image

2009
This paper presents a performance comparison between Harmsen's method and a family of Steganalysis Method based on Difference Image (SMDI), in order to promote steganalysis theory. The theoretical analysis begins from the commonness of SMDI, and is focused on the assessment of the statistical change degree between cover and stego, showing that SMDI ...
Yifeng Sun, Fenlin Liu, Bin Liu 0008, Ping Wang 0010   +3 more
openaire   +1 more source

A framework for steganalysis of images in internet traffic

International Journal of Computer Aided Engineering and Technology, 2011
This paper presents a framework for monitoring internet traffic to detect the presence of hidden information in images that were subjected to steganography. The framework of steganalysis environment comprises three stages: pre-processing, statistical and distortion.
Mahmoud Al-Qutayri, Hassan R. Barada, Tariq Al-Hawi   +2 more
openaire   +1 more source