Appraisal and comparison with state-of-art methods are also made after applying the different attacks (geometric, Gaussian, salt and pepper, flipping, etc.) on the stego image.

The proposed framework is implemented in MATLAB and assessed using different performance metrics like mean square error (MSE), Peak Signal to noise ratio (PSNR), bit error rate (BER), structural component (SC), structural similarity (SSIM), and so forth that are referenced in writing. Both image formats, Grayscale, and colored are employed as the cover images to hide various volumes of the confidential data. This proposal provides multi-level security by utilizing a blend of Rivest, Shamir, and Adleman (RSA) and Quantum Chaos (QC) for Encryption mechanism as the first level and the Improved BPCS (IBPCS) steganography as the next step to conceal the resultant cipher in a cover image. In this paper, a model is created by harmonizing various cryptography and steganography techniques to secure secret diagnostic information. There is a stern need for a robust safety mechanism. The contemporary defence level is not strong enough for maintaining the protection and integrity of information in a required field like the human healthcare sector. The communication of such information over available channels is very much susceptible to numerous security threats. The emerging demand for sharing medical digital images amid specialists and hospitals for enhanced and precise analysis necessitates protecting patients’ privacy. In the future, to embed the privacy-preserving of medical data, it can be extended with blockchain technology. The results of the proposed algorithm were analyzed using statistical methods, and the proposed algorithm showed the importance of data transfer in healthcare systems in a stable environment. To show its precision, equivalent to five RGB images and five Grayscale images are used to test the proposed algorithm. The reverse method of the Memetic Algorithm is implemented when extracting a hidden message from the encoded letter. The encrypted information is then inserted into the medical images using Discrete Wavelet Transform 1 level and 2 levels. In this paper, an Evolutionary Algorithm, namely the Memetic Algorithm is used for encrypting the text messages. This datum is sensitive, and hence security is a must in transforming the sensational contents. In the healthcare system, the Internet of Things (IoT) based distributed systems play a vital role in transferring the medical-related documents and information among the organizations to reduce the replication in medical tests. Such media should be considered unsafe where there is a potential for financial or other gain to be had from altering the data, and the copy cannot be cross-checked with the original data. CDs with altered data can be readily prepared, and from the point of view of individuals viewing the images, function identically to the original manufacturer's CD. No alterations to the DICOM readers were required to achieve this changes were applied only to the data files. The results show that data files are extremely vulnerable to alteration, and alterations are not detectable without detailed analysis of file structure. This report describes attempts to alter significant patient and study data on CD media and their outcome. This has lead to a heavy reliance on the integrity of the data. Images transmitted by these means are used for clinical diagnosis. While equipment manufacturers attach disclaimers to these discs and specify the intended use of such media, they are often the only practical means of transmitting data for small medical, dental, or veterinary medical centers. These CDs typically contain, in addition to the patient images, a DICOM reader and information about the origin of the data. The transmission of patient and imaging data between imaging centers and other interested individuals is increasingly achieved by means of compact disc digital media (CD).

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