Currently, the demand for covert communication in open social networks brings new opportunities and challenges to existing image steganography technology in terms of robustness and security. To this end, an image robust adaptive steganography is proposed with robustness against multiple image processing attacks and detection resistance. First, a robust embedding domain with theoretical foundation and optimal invisibility is constructed based on the compression resistance principle. Then, utilizing the robust image abstraction and saliency measurement, the embedding channel is selected to avoid modifications in smooth regions and enhance visual quality. On this basis, the proposed method is given combining with error-correcting and STC codes to realize message embedding with minimum costs and improve extraction accuracy. Lastly, after parameters discussion and selection, the performance experiments are conducted compared with previous representative steganography algorithms, concerning robustness and detection resistance, and the fault tolerance is deduced, thereby providing the recommended coding parameters to improve message extraction integrity. The experimental results show that the proposed method can realize message extraction with high accuracy after JPEG compression, Gaussian noising, and scaling attacks, while holding comparable detection resistance to adaptive steganography against statistical features, which indicates its application prospect for covert communication in open lossy channels.

当前，对秘密通信的需求在开放性社交网络中，健壮性和安全性给现有的图像隐写技术带来了新的机遇和挑战。为此，提出了具有鲁棒性的图像鲁棒自适应隐写术，该鲁棒性针对多种图像处理攻击和检测阻力。首先，基于抗压原理构造了具有理论基础和最佳隐形性的鲁棒嵌入域。然后，利用鲁棒的图像抽象和显着性测量，选择嵌入通道以避免在平滑区域中进行修改并增强视觉质量。在此基础上，将所提出的方法与纠错和STC码相结合，以最小的成本实现消息嵌入，提高提取精度。最后，在讨论和选择参数之后，与以前的代表性隐写算法相比，在鲁棒性和检测抗性方面进行了性能实验，推导了容错能力，从而提供了推荐的编码参数，以提高消息提取的完整性。实验结果表明，所提出的方法在进行JPEG压缩，高斯噪声和缩放攻击后，可以实现高精度的消息提取，同时在统计性能上具有与自适应隐写技术相当的检测抵抗力，表明了其在公开秘密通信中的应用前景。从而提供推荐的编码参数，以提高消息提取的完整性。实验结果表明，所提出的方法在进行JPEG压缩，高斯噪声和缩放攻击后，可以实现高精度的消息提取，同时在统计性能上具有与自适应隐写技术相当的检测抵抗力，表明了其在公开秘密通信中的应用前景。从而提供推荐的编码参数，以提高消息提取的完整性。实验结果表明，所提出的方法在进行JPEG压缩，高斯噪声和缩放攻击后，可以实现高精度的消息提取，同时在统计性能上具有与自适应隐写技术相当的检测抵抗力，表明了其在公开秘密通信中的应用前景。有损渠道。