Today's technological era, the booming desire for e-healthcare has inflated the attention towards the security of data from cyber attacks. As the digital medical images are transferred over the public network, there is a demand to shield an adequate level of protection. One of the prominent techniques is encryption which secures the medical images. This paper recommends a DICOM image encryption based upon chaotic attractors on frequency domain by integer wavelet transform (IWT) and fused with deoxyribonucleic acid (DNA) sequence on the spatial domain. The proposed algorithm uses a chaotic 3D Lorenz attractor and logistic map to generate pseudo-random keys for encryption. The algorithm involves subsequent stages, i.e. permutation, substitution, encoding, complementary and decoding. To endorse the resistance of the proposed algorithm, various analyses have been examined for 256 × 256 DICOM images by achieving an average entropy of 7.99, larger keyspace of 10238 and non-zero correlation. The overall results confirm that the proposed algorithm is robust against the brute force attacks. Graphical abstract.

中文翻译：

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双域中的强大医学图像加密：混沌-DNA-IWT组合方法。

在当今的技术时代，对电子医疗保健的需求日增，这引起了人们对网络攻击数据安全性的关注。由于数字医学图像是通过公共网络传输的，因此需要屏蔽足够的保护级别。突出的技术之一是保护医学图像的加密。本文推荐一种基于整数域小波变换（IWT）的频域混沌吸引子并在空间域与脱氧核糖核酸（DNA）序列融合的DICOM图像加密方法。所提出的算法使用混沌的3D Lorenz吸引子和逻辑映射来生成用于加密的伪随机密钥。该算法涉及后续阶段，即置换，替换，编码，互补和解码。为了认可所提出算法的阻力，通过实现7.99的平均熵，10238的较大键空间和非零相关性，对256×256 DICOM图像进行了各种分析。总体结果证实了所提出的算法对强力攻击具有鲁棒性。图形概要。