Results 1 to 10 of about 6,801,187 (249)

Forensics aided steganalysis of heterogeneous images

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
We tackle the problem of the steganalysis of images produced by different sources. We first use a classifier to try to understand the image source and then use a version of the steganalyzer that has been explicitly trained to work with images belonging to the correct class.
Mauro Barni, Giacomo Cancelli, Annalisa Esposito   +2 more
openaire   +1 more source

Universal Steganalysis to Images with WBMC Model

2009 Fifth International Conference on Information Assurance and Security, 2009
We propose a Wavelet based Markov Chain (WBMC) model for nature images, which can present statistic divergence between cover image and steg image prominently. Based on Markov chain empirical matrix, we discussed the difference between low frequency domain and high frequency domain generalized by steg process, and then defined two models: WBMC_L model ...
Xiaoyuan Yang 0002, Shifeng Wang, Jia Liu 0016   +2 more
openaire   +1 more source

Steganalysis using image quality metrics

IEEE Transactions on Image Processing, 2003
We present techniques for steganalysis of images that have been potentially subjected to steganographic algorithms, both within the passive warden and active warden frameworks. Our hypothesis is that steganographic schemes leave statistical evidence that can be exploited for detection with the aid of image quality features and multivariate regression ...
Ismail Avcibas, Nasir D. Memon, Bülent Sankur   +2 more
openaire   +3 more sources

Escaping difference image histogram steganalysis

Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011
Steganography is used to hide the occurrence of communication. Discovering and rendering useless such covert message is an art of Steganalysis. A popular Steganalysis technique is Difference Image Histogram (DIH), proposed by Zhang, aimed at LSB steganography. This algorithm can not only detect the existence of hidden messages embedded using sequential
H. B. Kekre, Archana A. Athawale, S. V. Maheshwari   +2 more
openaire   +1 more source

Is blind image steganalysis practical using feature-based classification?

Multimedia tools and applications, 2023
Ahd Aljarf, Haneen Zamzami, A. Gutub
semanticscholar   +1 more source

Feature-Based Steganalysis for JPEG Images

2009 International Conference on Digital Image Processing, 2009
The goal of blind steganalysis is to detect the presence of hidden data and to eventually extract them from the stego images generated by various data hiding schemes. In this paper, we construct a new blind classifier capable of detecting several steganographies for JPEG images. Thirteen statistics are collected in the DCT domain and spatial domain. By
Zhuo Li, Kuijun Lu, Xian-Ting Zeng, Xuezeng Pan   +3 more
openaire   +1 more source

An improved approach to steganalysis of JPEG images

Information Sciences, 2010
Steganography secretly embeds additional information in digital products, the potential for covert dissemination of malicious software, mobile code, or information is great. To combat the threat posed by steganography, steganalysis aims at the exposure of the stealthy communication.
Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, Zhongxue Chen, Bernardete Ribeiro   +4 more
openaire   +1 more source

Steganalysis based on image quality metrics

2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564), 2002
We present techniques for steganalysis of images that have been potentially subjected to a watermarking algorithm. We show that watermarking schemes leave statistical evidence or structure that can be exploited for detection with the aid of proper selection of image features and multivariate regression analysis. We use some image quality metrics as the
Sankur, B, Memon, N, Avcibas, I
openaire   +2 more sources

Statistical Steganalysis of Images

2019
Steganalysis is the study of detecting secret information hidden in objects such as images, videos, texts, time series and games via steganography. Among those objects, the image is the most widely used object to hide secret messages. Detection of possible secret information hidden in images has attracted a lot of attention over the past ten years ...
openaire   +1 more source

Invisible and Steganalysis-Resistant Deep Image Hiding Based on One-Way Adversarial Invertible Networks

IEEE transactions on circuits and systems for video technology (Print)
Deep image hiding is a challenging image processing task that aims to hide a secret image into a cover image of equal size perfectly. How to improve the imperceptibility of deep image hiding while ensuring high computational efficiency is a primary ...
Xinjue Hu, Zhangjie Fu, Xiang Zhang, Yanyu Chen   +3 more
semanticscholar   +1 more source