Medical Healthcare System with Hybrid Block based Predictive models for Quality preserving in Medical Images using Machine Learning Techniques

Abstract

Cloud technology is a business strategy that aims to provide the necessary material to customers depending on their needs. Individuals and cloud businesses alike have embraced the cloud storage service, which has become the most widely used service. The industries outsource their data to cloud storage space to relieve themselves of a load of dealing with redundant data contents. This must be protected to prevent the theft of personal belongings, and privacy must be improved as well. Different research projects have been suggested to ensure the safe management of the information included within the data content. The security of current research projects, on the other hand, still needs improvement. As a result, this method has been suggested to address the security concerns associated with cloud computing. The primary goal of this study effort is to offer a safe environment for cloud users while also increasing the profit of cloud resource providers by managing and securely delivering data contents to the cloud users. The bulk of sectors, including business, finance, the military, and the healthcare industry, do not store data in cloud-based storage systems. This technique is used to attract these kinds of customers. Increasing public acceptance Medical researchers are drawn to cloud computing because it allows them to store their study material in a centralized location and distribute and access it in a more flexible manner. They were collected from numerous individuals who were being evaluated for medical care at the time. Scalable and Enhanced Key Aggregate Cryptosystem is a protected data protection method that provides highly effective security in the health care industry. This approach handles disagreements in the outflow of sensitive information and guarantees the data security deployment of a Cloud-based Intelligent Health Monitoring system for the parties involved in the dispute. Using the suggested method, the encrypted data format of medical and health-care prescriptions is recorded as it passes through the hands of patients and healthcare institutions. To increase the level of security, the double encryption method is used. During the encryption process, the Ciphertext ID is referred to as a class. The keyholder is a master secret key that aids in the retrieval of the secret keys of different kinds of monsters and creatures. The extracted key is transmitted and kept as a single aggregate for the benefit of the patient or client to facilitate decryption. Between the use of a key aggregation cryptosystem and double encryption method, the Cloud-based Intelligent Health Monitoring systems may establish a secure link with Healthcare Organizations and patients. As a result, when compared to prior methods, the results demonstrate that the study methodology achieves high levels of security in terms of confidentiality and integrity, as well as great scalability.