当前位置: X-MOL 学术Pattern Recogn. Lett. › 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.)
Medical Image Encryption Scheme Using Multiple Chaotic Maps
Pattern Recognition Letters ( IF 5.1 ) Pub Date : 2021-11-05 , DOI: 10.1016/j.patrec.2021.10.033
Kurunandan Jain 1 , Aravind Aji 1 , Prabhakar Krishnan 1
Affiliation  

Telemedicine and various tele-medicinal applications are revolutionizing a variety of healthcare departments through its innovative means of remote diagnosing and faster first aid administration. Digital images play an important role in these applications for ensuring better and faster health carfigure. These digital images, which usually contain confidential and diagnostic information about the patients, are usually transmitted through public networks among hospitals, doctors and patients. Consequently, there is a need to secure them while being stored and in transit to guarantee the privacy of the patient. However, unique properties of digital image data, such as high redundancy and correlation between the pixels of the image and their large size, make the conventional cryptographical algorithms insufficient for ensuring proper security while encrypting them. As the conventional algorithms seize to be a reliable solution, the need to develop improved and dedicated image encryption algorithms also arises. Chaotic systems are systems that appear random and unpredictable from the outside but are governed by deterministic equations or rules on the inside. Due to these properties, along with ergodicity and its heightened sensitivity to the initial conditions, chaotic systems are devised to be one of the best candidates for securing the storage and transmission of digital images. However, the security of a chaotic image encryption system depends upon the chaotic behavior demonstrated by the chaotic map applied in the image encryption system. Because of this, different attacks can be used to break a chaotic encryption system if the scheme is not well-structured. This paper introduces a chaotic image encryption scheme that incorporates two chaotic maps, namely, Arnold's Cat Map and 2D Logistic-Sine-Coupling Map(2D-LSCM), for increased randomness and security of the encrypted image. We also analyze the performance and security of our scheme and compare it with other prominent chaotic image encryption schemes.



中文翻译:

使用多混沌图的医学图像加密方案

远程医疗和各种远程医疗应用通过其创新的远程诊断方法和更快的急救管理,正在彻底改变各种医疗保健部门。数字图像在这些应用中发挥着重要作用,可确保更好、更快地实现医疗保健。这些数字图像通常包含有关患者的机密和诊断信息,通常通过公共网络在医院、医生和患者之间传输。因此,需要在存储和运输过程中保护它们以保证患者的隐私。然而,数字图像数据的独特属性,例如图像像素与其大尺寸之间的高冗余和相关性,使传统的加密算法不足以在加密时确保适当的安全性。由于传统算法成为可靠的解决方案,因此也需要开发改进的专用图像加密算法。混沌系统是从外部看起来随机且不可预测但内部由确定性方程或规则控制的系统。由于这些特性,加上遍历性及其对初始条件的高度敏感性,混沌系统被设计为保护数字图像存储和传输的最佳候选者之一。然而,混沌图像加密系统的安全性取决于应用于图像加密系统的混沌映射所表现出的混沌行为。因为这,如果方案结构不合理,可以使用不同的攻击来破解一个混乱的加密系统。本文介绍了一种混沌图像加密方案,它结合了两个混沌图,即阿诺德猫图和二维逻辑正弦耦合图(2D-LSCM),以增加加密图像的随机性和安全性。我们还分析了我们方案的性能和安全性,并将其与其他突出的混沌图像加密方案进行了比较。

更新日期:2021-11-17
down
wechat
bug