融合量子密钥真随机性的二值图像水印

发布时间：2019-05-28 00:01

【摘要】：目前多数水印算法将伪随机数列作为水印,算法设计时多偏重于提高水印隐蔽性和鲁棒性,但忽略了水印自身的安全。本文提出了一种基于量子密钥真随机性的,可进行篡改定位的、面向安全通信的空域水印算法来提高水印的安全性。该算法使用基于BB84协议原理、通过量子密钥分发机制生成的具有真随机性和绝对安全性的量子密钥制备二值图像水印,并结合首次提出的量子密钥矩阵模型与8-邻域随机定位理念,将量子水印动态随机地嵌入到载体图像中。传输完成后,接收方可以快速提取水印信息,精确判断水印图像完整性及传输过程安全性,并能够对篡改进行定位。对算法进行了隐蔽性、鲁棒性以及篡改定位测试,结果表明:提出的算法简单,具有高安全性和隐蔽性,同时兼顾鲁棒性,篡改定位精度达3pixel×3pixel,可以广泛应用于数字图像的安全传输中。
[Abstract]:At present, most watermarking algorithms use pseudorandom sequence as watermark, and most of the algorithms focus on improving the concealment and robustness of watermark, but ignore the security of watermark itself. In this paper, a spatial watermarking algorithm for secure communication is proposed, which is based on the randomness of quantum keys and can be tampered with and located in order to improve the security of watermarks. Based on the principle of BB84 protocol, the algorithm uses quantum keys generated by quantum key distribution mechanism to prepare binary image watermarks with true randomness and absolute security. Combined with the first proposed quantum key matrix model and the concept of 8-neighborhood random location, the quantum watermark is dynamically and randomly embedded into the carrier image. After the transmission is completed, the receiver can quickly extract the watermark information, accurately judge the integrity of the watermark image and the security of the transmission process, and can locate the tampering. The algorithm is tested for concealment, robustness and tampering localization. The results show that the proposed algorithm is simple, has high security and concealment, and takes into account robustness, and the accuracy of tampering location is 3pixel 脳 3 pixel. It can be widely used in the secure transmission of digital images.
【作者单位】：吉林大学通信工程学院;长春大学计算机科学技术学院;吉林大学计算机科学与技术学院;
【基金】：国家自然科学基金重点资助项目(No.61631009);国家自然科学基金资助项目(No.61373051) 教育部春晖计划资助项目(No.Z2015024) 吉林省科技发展基金资助项目(No.20150204006,20160101259JC,20170204023GX) 吉林省省级经济结构战略调整引导资金专项资助项目(No.2015y040)
【分类号】：TP309.7;TP391.41

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