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Embedding Strategy for Batch Adaptive Steganography (IWDW 2016)

02/08/2018 - Image Steganology

Z. Z. Zhao, Q. X. Guan, X. F. Zhao, H. B. Yu, C. J. Liu                                                     

Abstract

In this paper, we present a new embedding strategy for batch adaptive steganography. This strategy can make up for the problem when applying batch steganography to adaptive steganography and determine the sub-batch of cover images to carry the total message. Firstly, we define a secure factor α to evaluate the embedding security. Then, we utilize the secure factor α to calculate the corresponding payloads for each image based on distortion-limited sender (maximizing the payload while introducing a fixed total distortion) and fit the relation curve for the secure factor and the corresponding payload. When embedding, the images with large size and more upward convex relation curve are employed to carry the total message. Experimental results show that fitting curves vary according to images and employing images with more upward convex relation curve to carry the total message can improve the secure performance effectively.

Cite the paper as:

[1] Z. Z. Zhao, Q. X. Guan, X. F. Zhao, H. B. Yu, C. J. Liu. Embedding strategy for batch adaptive steganography. In Revised Selected Papers: 15th International Workshop on Digital-forensics and Watermarking (IWDW 2016), Beijing, China, Sep.17-19, 2016, LNCS, Vol.10082, pp. 494-505, Springer