用随机加密与纠错码提升图像隐写安全性，3比特/像素且抗检测。
SCReedSolo: A Secure and Robust LSB Image Steganography Framework with Randomized Symmetric Encryption and Reed-Solomon Coding
- 通过随机打乱、对称加密和里德-所罗门纠错编码保护秘密数据
- 实现每像素3比特嵌入率，错误校正后传输成功率高
- 适合需要高安全性和抗检测的隐蔽通信场景
图像隐写是一种将机密信息隐藏在数字图像中的技术。本文提出一种名为 SCReedSolo 的新框架，可在图像中嵌入任意二进制数据。该方法结合随机打乱、Fernet 对称加密和里德-所罗门纠错码对秘密信息进行编码，再通过最低有效位（LSB）隐写嵌入载体图像。此组合有效缓解了安全性和抗比特级损坏的漏洞。实验表明，该框架在彩色图像中可实现每像素3比特的嵌入容量，并数学分析了包含 $n$ 个消息比特和 $k$ 个纠错比特的联合传输成功概率。此外，评估结果显示，该方法在多种性能指标下表现优异，能有效规避多种被动隐写分析工具检测，且对简单主动攻击具有免疫力。代码与数据已公开于 https://github.com/Starscream-11813/SCReedSolo-Steganography。
原文摘要 · Abstract (English)
Image steganography is an information-hiding technique that involves the surreptitious concealment of covert informational content within digital images. In this paper, we introduce ${\rm SCR{\small EED}S{\small OLO}}$, a novel framework for concealing arbitrary binary data within images. Our approach synergistically leverages Random Shuffling, Fernet Symmetric Encryption, and Reed-Solomon Error Correction Codes to encode the secret payload, which is then discretely embedded into the carrier image using LSB (Least Significant Bit) Steganography. The combination of these methods addresses the vulnerability vectors of both security and resilience against bit-level corruption in the resultant stego-images. We show that our framework achieves a data payload of 3 bits per pixel for an RGB image, and mathematically assess the probability of successful transmission for the amalgamated $n$ message bits and $k$ error correction bits. Additionally, we find that ${\rm SCR{\small EED}S{\small OLO}}$ yields good results upon being evaluated with multiple performance metrics, successfully eludes detection by various passive steganalysis tools, and is immune to simple active steganalysis attacks. Our code and data are available at https://github.com/Starscream-11813/SCReedSolo-Steganography.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。