Abstract
With the advancements in e-healthcare services, it is possible to provide remote medical services to patients and swifter first aid. Medical images play an essential role in e-healthcare applications for providing quick and better remote diagnosis and treatment to patients. Medical images generally comprise secret details about the patients and are therefore prone to various security threats during their transmission over public networks. Thus, it is required to secure these images prior to their communication over public networks. But due to distinctive properties of medical images, like higher correlation and redundancy among the pixels, and larger size, it is required to design an efficient encryption model to resist against various security threats. In this paper, an efficient encryption model for medical images is proposed. To obtain the secret keys, six-dimensional hyperchaotic map (SDHM) is proposed. Firstly, plain medical image is divided into three channels such as red, green, and blue. Secret keys are used to diffuse these channels. Lastly, encrypted channels are concatenated and final encrypted medical image is obtained. Extensive experiments are drawn by considering the benchmark medical images. Also, comparisons are performed among the proposed SDHM and competitive techniques by considering various performance metrics. Comparative analysis reveals that the proposed SDHM achieves remarkably good performance than the existing encryption models.
Highlights
With the advancements in multimedia applications, images are playing very crucial role in various applications
We focused only on medical images. e communication and storage of medical images over the public networks is not secure. e primary concerns of medical images are authentication, confidentiality, and integrity. e security vulnerabilities of medical images can pose various threats that further restrict the development of mobile healthcare applications [1, 2]. erefore, it is required to protect the medical images while communication and storage
It is clearly found that the proposed six-dimensional hyperchaotic map (SDHM) achieves remarkably better Peak signal to noise ratio (PSNR) values than the existing models. e proposed SDHM shows an average improvement in terms of PSNR as 3.4587%
Summary
With the advancements in multimedia applications, images are playing very crucial role in various applications. E communication and storage of medical images over the public networks is not secure. In [3], edge and chaotic maps were used to encrypt the medical images. In [4], secret key was obtained using double humped (DH) logistic map to encrypt the medical MRI and X-ray images. To make medical image encryption models more secure, many researchers combined spatial and frequency domain models. In [12, 13], integer wavelet transform (IWT), DNA, and 3D Lorenz chaotic map were utilized to secure the medical images over public networks. It is found that the medical images generally comprise secret details about the patients and are prone to various security threats during their transmission over public networks. Us, the main objective of this paper is to design an efficient image encryption model that can develop significantly complex secret keys.
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