Department of Electronics and Communication, Jaypee University of Engineering and Technology, Raghogarh, Guna (M.P.) 473226, India
Department of Electronics and Communication, Thapar Institute of Engineering and Technology University, Patiala, 147004, India
Curr Med Imaging. 2020;16(8):1034-1043. doi: 10.2174/1573405615666190101110751.
With the advancement in internet technology, a large amount of information in the form of data and image is transferred from one end to the other. The information may be military, defense, medical, etc. which should be kept confidential by providing security.
The aim of this article will be to provide security to the image. This is achieved by applying the image encryption method which converts the original information into an unreadable format.
This work explores an efficient way of image encryption using a chaotic logistic function. A set of two chaotic logistic functions and 256 bit long external secret key are employed to enhance the security in the encrypted images. The initial condition of first logistic function has been obtained by providing the suitable weights to all bits of the secret key. The initial condition of second logistic function has been derived from the first chaotic logistic function. In this proposed algorithm, ten different operations are used to encrypt the pixel of an image. The outcome of the second logistic map decides the operation to be used in the encryption of the particular image pixel.
Various statistical parameters like NPCR, UACI and information entropy were calculated.
Results show that the proposed algorithm provides an image encryption method with better security and efficiency for all real-time applications such as medical images.
随着互联网技术的进步,大量以数据和图像形式的信息从一端传输到另一端。这些信息可能是军事、国防、医疗等方面的,为了保证其机密性,需要提供安全性。
本文旨在为图像提供安全性。这是通过应用图像加密方法来实现的,该方法将原始信息转换为不可读的格式。
本工作探索了一种使用混沌 logistic 函数的有效图像加密方法。使用两组两个混沌 logistic 函数和 256 位长的外部密钥来提高加密图像的安全性。第一个 logistic 函数的初始条件是通过为密钥的所有位提供适当的权重来获得的。第二个 logistic 函数的初始条件是从第一个混沌 logistic 函数导出的。在这个提出的算法中,使用了十种不同的操作来加密图像的像素。第二个 logistic 映射的结果决定了要用于加密特定图像像素的操作。
计算了各种统计参数,如 NPCR、UACI 和信息熵。
结果表明,该算法为所有实时应用(如医学图像)提供了一种具有更好安全性和效率的图像加密方法。