In this era of the information age with digitalization, the transmission of sensitive real-time image information over insecure channels is highly-likely to be accessed or even attacked by an adversary. To prevent such unauthorized access, cryptography is being used to convert sensitive information in real-time images into unintelligible data. Most of the time, schemes are proposed with a high level of security. However, the challenge always remains the slower speeds due to their high complexity which makes them unusable in the applications of real-time images. In this paper, an efficient image encryption algorithm has been developed and tested for real-time images. The proposed scheme makes use of encryption with an efficient permutation technique based on a modular logistic map to bring down the size of the chaotic value vector, required to permute real-time image. We show that an efficient permutation is obtained using only \(\sqrt{N}\) chaotic numbers for a square image with 3N pixels (N Pixels in each color bit plane). The algorithm makes use of a 192-bit key; divided into smaller blocks and each block selected chaotically to diffuse the pixel using multiple XOR operations. The experimental analysis reveals that the proposed algorithm is immune to various statistical and differential attacks such as entropy, histogram analysis, spectral characteristic analysis, etc. A comparison of the proposed scheme with some state-of-the-art techniques show that it performs better, and as such, can be utilized for efficient real-time image encryption.

在这个信息时代的数字化时代，攻击者很可能会访问不安全通道上的敏感实时图像信息，甚至对其进行攻击。为了防止此类未经授权的访问，正在使用加密技术将实时图像中的敏感信息转换为难以理解的数据。大多数情况下，建议的方案都具有较高的安全性。但是，挑战始终是速度较慢，因为它们的复杂性很高，这使得它们无法在实时图像的应用中使用。在本文中，已经开发了一种有效的图像加密算法，并针对实时图像进行了测试。提出的方案利用基于模块化逻辑映射的有效置换技术进行加密，以降低混沌值矢量的大小，实时图像的置换。我们证明仅使用具有3 N个像素（每个颜色位平面中的N个像素）的正方形图像的\（\ sqrt {N} \）混沌数。该算法使用一个192位密钥。分成较小的块，然后使用多个XOR操作对每个块进行混沌选择以扩散像素。实验分析表明，该算法不受各种统计和差分攻击的影响，例如熵，直方图分析，频谱特征分析等。该算法与一些最新技术的比较表明，该算法性能更好，因此可以用于高效的实时图像加密。