Key Aggregation Cryptosystem and Double Encryption Method for Cloud-Based Intelligent Machine Learning Techniques-Based Health Monitoring Systems

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 the 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 contrary, 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, military, and 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 healthcare industry. When parties interested in a dispute disagree on the outflow of sensitive information, this technique manages the disputes and ensures the data security deployment of a cloud-based intelligent health monitoring system for the parties involved. The encrypted data structure of medical and healthcare prescriptions is recorded as they move through the hands of patients and healthcare facilities, according to the technique recommended. The double encryption approach is used in order to raise the overall degree of security. An encryption class is created by referring to the Ciphertext ID during the encryption procedure. The keyholder is a master secret key that facilitates in the recovery of the secret keys of various monsters and creatures by acting as a conduit between them. It is transferred and stored as a single aggregate for the benefit of the patient or customer in order to make decryption more convenient and efficient. A safe connection between cloud-based intelligent health monitoring systems and healthcare organizations and their patients may be established via the use of a key aggregation cryptosystem and a double encryption approach, according to the researchers. Because of this, when compared to earlier techniques, the findings reveal that the research methodology provides high levels of security in terms of confidentiality and integrity, in addition to excellent scalability.

Preliminary Study of Novel Bio-Crypto Key Generation Using Clustering-Based Binarization of ECG Features

“…The importance of this paper is that the proposed method offers several advantages, particularly in enhancing the security and flexibility of the encryption system. Previous studies have explored strategies like double security with a single key length and the generation of long-length keys to bolster security [ 29 , 30 ]. The existing methods may not be viable in resource-constrained environments [ 31 ].…”

A Novel Brain Tumor Classification Algorithm using SVM Classifier

“…In this equation, gamma is used to indicate the contour parameter which is used to determine the smoothness of the boundary region, and yi and yj are objects I and j, respectively. SVM is the default selection for brain tumor classification because of the features selection and kernel class reparability [15]. There are some terms available that are used to the performance of the SVM algorithm which is below: the First term is accuracy, the Second term is sensitivity, the Third term is specificity [16].…”

Efficient dynamic key‐aggregate cryptosystem for secure and flexible data sharing

“…KAC is widely accepted for sharing sensitive data securely and efficiently in a variety of practical application scenarios 23,24 . Nishoni and Tenis 23 utilized KAC to achieve key auditing in secure data transmission while avoiding computationally intensive operations.…”

“…Their scheme uses random oracle model and a formal proof of security is absent. The work by Almuzaini et al 24 is an application of KAC for privacy‐preserving machine learning analysis on healthcare data. Their scheme benefits from the constant ciphertext‐size and constant‐size aggregate key of KAC.…”

“…KAC is widely accepted for sharing sensitive data securely and efficiently in a variety of practical application scenarios. 23,24 Nishoni and Tenis 23 utilized KAC to achieve key auditing in secure data transmission while avoiding computationally intensive operations. The main aim is to share the data with users in a privacy-preserving manner with verification of integrity of the data stored on the cloud service provider.…”