Secure image-based diagnostics system
Medical Image Encryption Scheme Based on Arnold Transformation In the article “Medical Image Encryption Scheme Based on Arnold Transformation and ID-AK Protocol” by Abubaker Wahaballa, it portrays that image-based diagnostics system is the best technique for treating and can be used in the anticipation of a number of diseases. It focuses in proposing an encryption scheme especially to a medical image through a strategy of incorporating the knowledge of identity-based authenticated key mutual agreement and the application of Arnold transformation. Indeed, medical images can be transmitted and re-transmitted to the public domain by the use of internet. Internet serves as the most convenient channel of conveying such images in the sector of health-care (Wahballa et al. Nevertheless, the main challenge is on the sensitization of keeping these image secured from an unauthorized retrieval since they contain highly sensitive and confidential information.
In the current world, the unauthorized distribution and collection of data has become a big challenge with the gradual development of computers and internets. Therefore, this article reinstates that the optical image encryption serves as a significant sector for information security thus tends to solve the prevailing challenge in an effective manner (Chen, Chen & Sheppard, 2010). Moreover, a number of methods have been enriched to cater for installing image encryption security. Such methods include Fourier transform, virtual optics and Fresnel transform. The two types of holography, for instance off-axis digital holography and phase-shifting digital holography are also used. Chaotic Image Encryption Algorithm Based on Permutation This article comprehensively addresses the idea concerning the cracking of hierarchical chaotic image encryption algorithm based on the technique of permutation.
The proposal uses the knowledge of dividing a plain image of let’s say size M*N. The division is done using T-possible values on the K-blocks of the same size. Afterwards, position permutation is carried out on both the inter-block level and intra-block level (Li, 2016). In the contemporary societies, statistically, there has been a tremendous increase in the speed of transmission of both wired and wireless networks. This notion has been massively influenced by the increasing development of network communication. As a result, image security has been becoming increasingly significant. Initially, the first stage of chaotic image encryption was developed by Matters. In the current societies, much literatures have been evolved pertaining to the development, analysis and interpretation of the chaotic system of image encryption.
The chaotic maps such as logistic maps, sine maps and tent maps are used in the image encryption algorithm since the chaotic maps have the sensitivity to the original values and control parameters. Over the past recent years, several researchers and articles have developed many multimedia scrambling algorithms, creating designing diverse mechanisms to form the position-permutation interdependence of the permutation elements from the hidden keys since the number of the position-scrambling relations is a factorial of the total number of the elements. This portrays that when the number of scrambling elements are large, the rate of position scrambling relation also becomes relatively high. Additionally, cryptography is the process of designing an algorithm in order to create secure communication platform between the receiver and the sender.
Unlike to the theory of position-scrambling, cryptography obtains much information about the hidden key without ant advance knowledge pertaining to it. 2D Sine Logistic Modulation Map for Image Encryption The authors of this article were; Zhungyun Hua, Yicong Zhou, Chi-Man Pu and Philip Chen. Usually, it is possible for the medical data images to be conveniently stored in the third party serves through the aid of the cloud computing approaches. In order to guarantee safety, privacy and security to such medical image data, it is necessary to engage encryption to enhance confidentiality and authentication to establish authorship. The above aforementioned articles provides into details explanations concerning security of image-based diagnostics system. Nevertheless, this paper with the aid of seven other articles provide themes related to secure image-based diagnostics system.
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