Designing adaptive JPEG steganography based on the statistical properties in spatial domain

2018 ◽  
Vol 78 (7) ◽  
pp. 8655-8665
Author(s):  
Ge Liu ◽  
Fangjun Huang ◽  
Zhonghua Li
Keyword(s):  
Spatial Domain ◽  
Statistical Properties ◽  
Jpeg Steganography

Blind JPEG Steganalysis Using Features Derived from Multi-Domain

2011 ◽  
Vol 50-51 ◽  
pp. 693-699
Author(s):  
Wen Qiong Yu ◽  
Zhuo Li ◽  
Ling Di Ping
Keyword(s):  
Intermediate Frequency ◽  
Spatial Domain ◽  
Experimental Results ◽  
Spatial Features ◽  
Dct Domain ◽  
Jpeg Steganography

In this paper, a new blind steganalytic scheme is proposed to effectively detect JPEG steganography. In DCT domain, the co-occurrence matrices are used to capture the intra-block and inter-block correlations among the quantized coefficients. In spatial domain, we estimate the invariant components of the decompressed raw pixels between the cover and stego images by wiping selected intermediate frequency AC coefficients, and collect eighteen statistics in total. Combining the DCT and spatial features leads to be more effective for classification. The experimental results have demonstrated that the proposed method is stable, and outperforms the recently reported steganalysis in attacking the advanced JPEG steganography.

Statistical properties of type I intermittency

1982 ◽  
Vol 43 (4) ◽  
pp. 585-589 ◽  
Author(s):  
M. N. Bussac ◽  
C. Meunier
Keyword(s):  
Statistical Properties ◽  
Type I

Correlation in the heart rate data

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas
Keyword(s):  
Nonlinear Dynamics ◽  
Experimental Data ◽  
Heart Rate ◽  
Time Series ◽  
Cardiovascular Function ◽  
Statistical Properties ◽  
Rate Data ◽  
Heart Rate Data ◽  
Dynamical Nature ◽  
Analysis Of Time Series

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.

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