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Cloud hosting is a kind of storage that enables users to access, save, and manage their data in a secure and private cloud environment. As a result of this choice, users are no longer need to maintain and build their storage infrastructure on their computers or servers. Many businesses are hesitant to embrace cloud storage because of the complexities of data privacy and security issues. An easy-to-use and secure method for cloud storage sharing and data access is proposed in this study, which may be implemented quickly and easily. This solution requires users to have a secure password and biometric data in order to function properly. Their capacity to deceive consumers into disclosing critical information to their service providers is the primary reason for this problem. Cloud storage systems must have a secure framework in place in order for users to connect to and interact with one another. Many benefits of cloud storage exist, including enabling users to store and manage their data in a safe environment. Users can regulate and manage their data security while using cloud storage services. While implementing a safe and authenticated data storage model, this article addresses the different elements that must be taken into consideration. Several procedures have been established to deal with this problem. Unfortunately, they are not sufficiently secure to prevent a wide variety of security intrusions from taking place on them. When encrypting stored cloud data, the Fully Homomorphic multikey Encryption (FHE) algorithm is utilized. They also have a vulnerability in their protocol that makes it susceptible to both user and serverside attacks. When it comes to remote access, cloud data and data sharing between geographically dispersed devices is a reliable protocol to use. [ABSTRACT FROM AUTHOR]

The Internet of Medical Things (IoMT) is an extended genre of the Internet of Things (IoT) where the Things collaborate to provide remote patient health monitoring, also known as the Internet of Health (IoH). Smartphones and IoMTs are expected to maintain secure and trusted confidential patient record exchange while managing the patient remotely. Healthcare organizations deploy Healthcare Smartphone Networks (HSN) for personal patient data collection and sharing among smartphone users and IoMT nodes. However, attackers gain access to confidential patient data via infected IoMT nodes on the HSN. Additionally, attackers can compromise the entire network via malicious nodes. This article proposes a Hyperledger blockchain-based technique to identify compromised IoMT nodes and safeguard sensitive patient records. Furthermore, the paper presents a Clustered Hierarchical Trust Management System (CHTMS) to block malicious nodes. In addition, the proposal employs Elliptic Curve Cryptography (ECC) to protect sensitive health records and is resilient against Denial-Of-Service (DOS) attacks. Finally, the evaluation results show that integrating blockchains into the HSN system improved detection performance compared to the existing state of the art. Therefore, the simulation results indicate better security and reliability when compared to conventional databases. [ABSTRACT FROM AUTHOR]

The concept of cloud envisioned cyber-physical systems is a practical technology that allows users to interact with each other while transferring data in the cloud. In cyber-physical systems, cloud storage utilizes data deduplication techniques to improve the performance of its applications. However, this method exposes sensitive data and causes security risks. Various research related to cloud storage has been conducted. Despite the advantages of this technology, it lacks the necessary security features and high performance. In the proposed method, a victim's virtual computer is moved to the cloud without interfering with the other processes running on the network. It protects against the attacks caused by encrypting the data with a cryptographically binding hash. Post-Quantum Cryptographic techniques, such as lightweight Multi-Extractable Somewhere Statistically Binding and Learning With Error authenticate data sharing protocols (MESSB–LWE), have been used. These allow for safe data sharing across geographically scattered physical devices and clients with lightweight concepts. The numerical analysis of MESSB–LWE is carried out in different stages, and the results show that it has incredible performance and practicality when compared to the literature. Finally, the authors have explored a couple of factors that should be considered for future research work in authentication for securing remote systems in the cloud environment. [ABSTRACT FROM AUTHOR]