Impact Factor:7.231
DOI number:10.1109/TIFS.2019.2956590
Journal:IEEE Transactions on Information Forensics and Security
Key Words:Color image steganography, steganalysis, inter-channel correlation, non-additive cost
Abstract:Despite the strong presence of color images for communication, scholars have mainly devoted their attention to research on steganography for grayscale images. In contrast to grayscale images, color images have three interrelated color channels, and the relationships among the three channels have a strong impact on the steganography security. In this paper, we present a steganographic scheme for spatial color images by exploiting the correlations and differences between the color channels. We find that the G channel has a stronger correlation with R and B than the one between R and B, and thus, synchronizing the modification directions of the R and B channels with those from the G channel will have better resistance to detection. In addition, the payload capacity and the distribution of complex regions between channels are different. Based on these findings, we design a new strategy for defining non-additive costs for color image steganography, called G-channel-related Inter-channel Non-Additive (GINA) strategy. The GINA strategy can make the modification directions of the R and B channels consistent with those of the G channel and can adaptively distribute the embedding capacity between the three channels. Specifically, this strategy will not violate the Complexity Prior rule. The experimental results show that the proposed GINA strategy can significantly improve the performance in terms of resisting color image steganalysis compared with previous methods.
Note:信息安全领域顶级期刊
Co-author:李伟祥,于心智,俞能海
First Author:王垚飞
Indexed by:Journal paper
Correspondence Author:张卫明
Page Number:2081 - 2095
ISSN No.:1556-6013
Translation or Not:no
Included Journals:SCI
Links to published journals:https://ieeexplore.ieee.org/document/8917610/
Associate professor
Supervisor of Master's Candidates
School/Department:计算机与信息学院
Business Address:安徽省合肥市蜀山区丹霞路485号合肥工业大学翡翠湖校区翡翠科教楼A座604-4
Degree:Doctoral Degree in Engineering
Status:Employed
Alma Mater:中国科学技术大学 网络空间安全学院
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