当前位置: X-MOL 学术J. Real-Time Image Proc. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fast image encryption algorithm with high security level using the Bülban chaotic map
Journal of Real-Time Image Processing ( IF 2.9 ) Pub Date : 2020-02-19 , DOI: 10.1007/s11554-020-00948-1
Mohamed Zakariya Talhaoui , Xingyuan Wang , Mohamed Amine Midoun

In the last decades, a big number of image encryption schemes have been proposed. Most of these schemes reach a high-security level, however, their slow speeds due to their complex process make them unusable in real-time applications. Motivated by this, we propose a new efficient and high-speed image encryption scheme based on the Bülban chaotic map. Unlike most of the existing schemes, we make a wisely use of this simple chaotic map to generate only a few numbers of random rows and columns. Moreover, to further increase the speed, we raise the processing unit from the pixel level to the row/column level. Security of the new scheme is achieved through a substitution-permutation network, where we apply a circular shift of rows and columns to break the strong correlation of adjacent pixels. Then, we combine the XOR operation with the Modulo function to mask the pixels values and prevent any leak of information. High-security tests and simulation analysis have been carried out to demonstrate that the scheme is extremely secure and highly fast for real-time image processing at 80 fps (frames per second).



中文翻译:

使用Bülban混沌图的具有高安全级别的快速图像加密算法

在最近的十年中,已经提出了大量的图像加密方案。这些方案大多数都达到了高安全性级别,但是,由于其复杂的过程而导致的慢速运行使它们无法在实时应用中使用。为此,我们提出了一种基于Bülban混沌图的新型高效,高速图像加密方案。与大多数现有方案不同,我们明智地使用了此简单的混沌映射,以仅生成少量随机行和列。此外,为了进一步提高速度,我们将处理单元从像素级提升到行/列级。新方案的安全性是通过替换置换网络实现的,在该置换网络中,我们对行和列进行循环移位以打破相邻像素的强相关性。然后,我们将XOR操作与Modulo函数结合使用,以掩盖像素值并防止信息泄漏。进行了高安全性测试和仿真分析,以证明该方案对于80 fps(每秒帧)的实时图像处理极为安全且速度极快。

更新日期:2020-02-19
down
wechat
bug