隐写问题中的容噪编码

2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) Pub Date : 2021-10-20 DOI:10.1109/TELSIKS52058.2021.9606363

V. Kustov, A. Krasnov

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引用次数: 0

摘要

本文研究了高度不可检测的隐写系统±1HUGO和⊕HUGO在自然噪声下掩盖隐藏信息的问题。根据Arnold猫图算法，对隐藏信息进行初步的离散混沌变换，确保隐写系统具有较高的抗黑客能力。此外，在他们的研究中，作者使用自正交编码对覆盖对象和隐进进行了有效的容噪编码。采用带干扰的二进制同步通信信道模型对数据传输信道进行建模。文中还给出了仿真建模结果，证实了所提出的隐写系统具有较高的抗黑客能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Noise-tolerant Coding in Steganography Problems

The article deals with the problem of masking hidden messages under natural noise in highly undetectable stegosystems ±1HUGO and ⊕HUGO. According to the Arnold cat map algorithm, a preliminary discrete chaotic transformation of the hidden message ensures high resistance of stegosystems from hacking. Further, in their research, the authors effectively apply noise-tolerant coding for the covering object and stego using a self-orthogonal code. The model of a binary synchronous communication channel with interference is used to model the data transmission channel. The article also presents simulation modeling results, confirming the high resistance of the proposed stegosystems to hacking.

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2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)

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