Abstract
Image encryption is highly required in the big data healthcare cloud to improve the security of the medical image for remote access. Data hiding method is the process of storing the medical information of the patient in the medical image in the hidden format. Many existing data hiding methods are based on wavelet and chaotic map due to its effectiveness. Wavelet based methods have limitations of lack of phase information, poor directionality, and shift sensitivity. Chaotic map is applied to improve the security of the medical image and chaotic map has the limitation of low sensitive to control parameters and initial conditions. In this research, the Improved Chaos Encryption (ICE) is applied to improve the security based on randomness. The average energy is calculated in the images and compared with adaptive threshold to segment the Lorenz 96 model applied in the chaos encryption algorithm to improve the model security. Lorenz 96 increased the randomness of the chaos encryption method due to its high sensitivity. Medial images were used to test the performance of the ICE in the image encryption and image hiding. The proposed ICE model evaluated the quality of the recovered and decrypted image in the various embedding rate. The result shows that the proposed ICE model has the PSNR value of 104.7 dB compared to the LSB-ROI method which has 97.61 dB PSNR.
Highlights
In medical images stored in the cloud, the data hiding method is used to store the medical images of patient for remote access
In reversible data hiding (RDH), the original cover or the region of interest (ROI) is restored losslessly and the remaining part of the images is restored in lossy manner. e RDH plays an important role in medical image processing and in other applications such as big data healthcare, image transcoding, and multimedia archive management [12]
Data hiding method prevents information from unauthorized access and protects the Security and Communication Networks privacy of data. Medical images such as computed tomography (CT), ultrasound, X-ray, and magnetic resonance imaging (MRI) created by imaging devices are used as the cover image [27,28,29,30,31,32]. e chaotic method is used in the image encryption to improve the security based on the features of initial values of nonlinearity, pseudorandomness, and sensitivity. e chaotic encryption method is widely followed in the encryption process due to its features [33, 34]. e discrete chaotic maps are sensitive to control parameters and initial conditions that increase randomness being deterministic, unpredictable, and reproducible [35]
Summary
In medical images stored in the cloud, the data hiding method is used to store the medical images of patient for remote access. Image encryption is required in the medical images to store in cloud and to protect the privacy of the patients [13]. Data hiding method prevents information from unauthorized access and protects the Security and Communication Networks privacy of data. Medical images such as computed tomography (CT), ultrasound, X-ray, and magnetic resonance imaging (MRI) created by imaging devices are used as the cover image [27,28,29,30,31,32]. E chaotic method is used in the image encryption to improve the security based on the features of initial values of nonlinearity, pseudorandomness, and sensitivity.
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