A Priori knowledge based secure payload estimation

Sai Ma

doi:10.1007/s11042-017-4955-8

2017-07-04

PRE

Sai Ma

赵

赵险峰 (Xianfeng Zhao) *

Qingxiao Guan

Zhoujun Xu

Yi Ma

DOI：10.1007/s11042-017-4955-8

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摘要

En 中文

Many contemporary steganographic schemes aim to embed fixed-length secret message in the cover while minimizing the stego distortion. However, in some cases, the secret message sender requires to embed a variable-length secret payload within his expected stego security. This kind of problem is named as secure payload estimation (SPE). In this paper, we propose a practical SPE approach for individual cover. The stego security metric we adopt here is the detection error rate of steganalyzer (P-E ). Our method is based on a priori knowledge functions, which are two kinds of functions to be determined before the estimation. The first function is the relation function of detection error rate and stego distortion (P-E - D function). The second function reflects the relationship between stego distortion and payload rate (D - alpha) of the chosen cover. The P-E - D is the general knowledge, which is calculated from image library. On the other hand, D - alpha is for specific cover, which is needed to be determined on site. The estimating procedure is as follows: firstly, the sender solves the distortion D under his expected P-E via P-E - D, and then calculates the corresponding secure payload alpha via D - alpha of the cover. For on-site operations, the most time-consuming part is calculating D - alpha function for cover image, which costs 1 time of STC coding. Besides this, the rest on-site operations are solving single-variable formulas, which can be easily tackled. Our approach is an efficient and practical solution for SPE problem.

Keyword:

Steganography

Secure payload estimation(SPE)

Detection-error-rate-limited sender(PELS)

A Priori knowledge