菜单

The a priori knowledge based secure payload estimation for additive model (IS&T EI 2017)

02/08/2018 - Image Steganology

S. Ma, X. F. Zhao, Q. X. Guan, C. D. Zhao                                              

Abstract

In this paper, we propose a practical method to estimate the payload rate for individual cover before stego embedding. The proposed method is adopted to the additive distortion model. The a priori knowledge functions employed in the method contains the relation function of steganalyzer’s detection error and stego distortion

(P_E-D), and the relation function of payload rate and distortion(D-a) of the given cover. As it is not suitable to measure the stego security with stego distortion, we adopt PE as the security metric. With the sender’s expected P_E, the role of P_E-D function is to calculate the corresponding D, and then sender can solve out his expected a with D-a function for the cover. The P_E-D function is acquired before estimating phase. During the estimating, the most time-consuming part is calculating the D-a function for the cover, which costs 1 time of stego embedding. Our method is an efficient solution for estimating the secure payload rate.

Cite the paper as:

[1] S. Ma, X. F. Zhao, Q. X. Guan, C. D. Zhao. The a priori knowledge based secure payload estimation for additive model. In Proc. 2017 IS&T Electronic Imaging, Media Watermarking, Security, and Forensics, Jan.28-Feb.2, 2017, Burlingame, CA, USA 

EI 2017 Paper