稳健隐写术在实际通信中的应用:比较研究

IF 2.4 4区 计算机科学
Tong Qiao, Shengwang Xu, Shuai Wang, Xiaoshuai Wu, Bo Liu, Ning Zheng, Ming Xu, Binmin Pan
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引用次数: 0

摘要

摘要为了在公共信道中实现隐蔽通信行为,提出了隐写技术。在目前的研究中,现代自适应隐写术因其高不可检测性而占据主导地位。然而,现代自适应隐写术在社交网络等实际通信中应用时,其有效性受到了挑战。已经提出了几种鲁棒隐写方法,但它们之间的比较研究仍然未知。因此,我们提出了一个框架来概括当前典型的抗压缩攻击的隐写方法,并基于容量、不可感知性、不可检测性和鲁棒性四个基线指标对其优缺点进行了实证分析。更重要的是,在实际应用中比较了方法的鲁棒性性能,例如在Facebook, Twitter和微信上,这个问题在这个社区还没有得到全面的解决。其中,DCT系数修改符号的方法在社交媒体应用中表现出更大的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robust steganography in practical communication: a comparative study

Robust steganography in practical communication: a comparative study
Abstract To realize the act of covert communication in a public channel, steganography is proposed. In the current study, modern adaptive steganography plays a dominant role due to its high undetectability. However, the effectiveness of modern adaptive steganography is challenged when being applied in practical communication, such as over social network. Several robust steganographic methods have been proposed, while the comparative study between them is still unknown. Thus, we propose a framework to generalize the current typical steganographic methods resisting against compression attack, and meanwhile empirically analyze advantages and disadvantages of them based on four baseline indicators, referring to as capacity, imperceptibility, undetectability, and robustness. More importantly, the robustness performance of the methods is compared in the real application, such as on Facebook, Twitter, and WeChat, which has not been comprehensively addressed in this community. In particular, the methods modifying sign of DCT coefficients perform more superiority on the social media application.
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来源期刊
Eurasip Journal on Image and Video Processing
Eurasip Journal on Image and Video Processing Engineering-Electrical and Electronic Engineering
CiteScore
7.10
自引率
0.00%
发文量
23
审稿时长
6.8 months
期刊介绍: EURASIP Journal on Image and Video Processing is intended for researchers from both academia and industry, who are active in the multidisciplinary field of image and video processing. The scope of the journal covers all theoretical and practical aspects of the domain, from basic research to development of application.
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