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DNA 混沌混合以确保医疗隐私。

DNA Chaos Blend to Secure Medical Privacy.

出版信息

IEEE Trans Nanobioscience. 2017 Dec;16(8):850-858. doi: 10.1109/TNB.2017.2780881.

Abstract

In this technological era, it is highly essential to protect the digital medical data from the fraud and forgery as they are transmitted over the public channel. Also with the increased data traffic, it is hard to transmit the entire bulky medical data. New methods have come into the scene to reduce the traffic while maintaining the sufficient level of security. Partial encryption is one of the methods which selectively encrypt the bulky medical image. Meanwhile, if the same medical image is needed to be reused for another diagnosis, then it is recommended to protect the entire medical image. This paper proposes a hybrid encryption scheme based on deoxyribo nucleic acid and chaotic maps, which can be adaptable for both selective and full medical image encryption. The proposed algorithm uses multiple chaotic maps in single process to generate the highly random keys for encrypting the color digital imaging and communications in medicine image. The algorithm comprises three phases, namely, permutation, encoding, and diffusion. In all the phases, the selection of specific rule set depends on the key sequences produced from the combined chaotic system. Experimental results are carried out to validate the resistance of the developed algorithm toward statistical, differential, and brute force attacks.

摘要

在这个科技时代,保护在公共通道上传输的数字医疗数据免受欺诈和伪造是非常重要的。随着数据流量的增加,很难传输整个庞大的医疗数据。新的方法已经出现,可以在保持足够安全水平的同时减少流量。部分加密是一种选择性地加密庞大医疗图像的方法。同时,如果同一医疗图像需要用于另一次诊断,则建议保护整个医疗图像。本文提出了一种基于脱氧核糖核酸和混沌图的混合加密方案,该方案适用于选择性和全医疗图像加密。所提出的算法在单个过程中使用多个混沌图来生成用于加密医学图像中的彩色数字成像和通信的高度随机密钥。该算法包括三个阶段,即排列、编码和扩散。在所有阶段中,特定规则集的选择都取决于组合混沌系统产生的密钥序列。进行了实验结果以验证所开发算法对统计、差分和暴力攻击的抵抗能力。

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