Containerization is a technique for lightweight virtualization of programs in cloud computing, which leads to the widespread use of cloud computing. It has a positive impact on both the development and deployment of software. Containers can be divided into two groups based on their setup. The Application Container and the System Container are two types of containers. A container is a user-space that is contained within another container, while a system container is a user-space that is contained within another container. This study compares and contrasts several container architectures and their organization in micro-hosting environments for containers.

The advancement of information technology today depends on cloud computing. Every cloud consumer continues to search for the best services available, particularly in terms of security. The absence of uniform standards in the security architecture of the cloud, especially within the cloud computing community, has become an ongoing problem. Most cloud service providers automatically follow the best security practises and actively protect the operation of their systems. Enterprises are required to independently judge the security of their data, apps, and the cloud’s workload. The complexity of security concerns is increasing as the digital environment develops. Virtualization, multi-tenancy, security controls, rules, and risk profiling are all concepts in cloud security. DoS, service injection, user-to-root attacks, man-in-the-middle attacks, data loss leakage andloss, identity theft, and backdoor channel attacks are a few of the dangers associated with cloud computing. Cloud platforms, data outsourcing, data storage standardisation and security, data backup, and data recovery are all examples of cloud security services. Data storage, computation, untrusted computing, and virtualization security challenges are all a part of the cloud.

5G networks, the newest generation of wireless communication in an era of quick technical breakthroughs, promise unmatched speed, dependability, and connection. With this ground-breaking innovation, it is crucial to have strong authentication and security processes to preserve critical data and shield consumers from any dangers. We thoroughly analyze authentication and security mechanisms created expressly for 5G networks in this study. We examine this sophisticated networking paradigm’s numerous difficulties and weaknesses, emphasizing the requirement for rigorous security measures. We also look at encryption algorithms essential for preserving the availability, confidentiality, and integrity of data transferred across 5G networks. Additionally, we go through cutting-edge technologies and standards like network slicing, edge computing, and virtualization that solve the security issues unique to 5G networks. We examine how they could affect authentication and security processes, highlighting both the opportunities and difficulties they present.

In the early months of 2020, a fast-spreading outbreak was brought about by the new virus SARS-CoV-2. The uncontrolled spread, which led to a pandemic, illustrated the healthcare system’s slow response time to public health emergencies at that time. Blockchain technology was anticipated to be crucial in the effort to contain the COVID-19 pandemic. In that review, many potential blockchain applications were discovered; however, the majority of them were still in their infancy, and it couldn’t yet be predicted how they could contribute to the fight against COVID-19 through the use of platforms, access kinds, and consensus algorithms. Modern innovations such as blockchain and artificial intelligence (AI) were shown to be promising in limiting the spread of a virus. Blockchain could specifically aid in the battle against pandemics by supporting early epidemic identification, assuring the ordering of clinical information, and maintaining a trustworthy medical chain during disease tracing. AI also offered smart forms of diagnosing coronavirus therapies and supported the development of pharmaceuticals. Blockchain and AI software for epidemic and pandemic containment were analyzed in that research. First, a new conceptual strategy was proposed to tackle COVID-19 through an architecture that fused AI with blockchain. State-of-the-art research on the benefits of blockchain and AI in COVID-19 containment was then reviewed. Recent initiatives and use cases developed to tackle the coronavirus pandemic were also presented. A case study using federated intelligence for COVID-19 identification was also provided. Finally, attention was drawn to problems and prospective directions for further investigation into future coronavirus-like wide-ranging scenarios.

As the digital ecosystem evolves, personal data protection and privacy control have become paramount concerns. Traditional centralized approaches to data management and privacy often pose risks to individuals’ data security and privacy. This research paper explores the potential of decentralization and federated approaches as innovative solutions for enhancing personal data protection and privacy control. By distributing data across multiple entities and empowering individuals with control over their data, decentralized and federated models offer increased security, privacy, and data autonomy. This paper investigates the benefits, challenges, and future prospects of decentralized and federated approaches in personal data protection and privacy control.

The introduction outlines the significance of data storage and management in businesses andhighlights the cost-effectiveness of data outsourcing, particularly in the context of cloud computing. Itemphasizes the benefits and challenges of cloud computing, with a focus on security concerns related tomalware threats. The proposed malware prevention and detection (MP&D) framework aims to address thesechallenges by providing a comprehensive set of processes and tools to secure virtual machines in cloudcomputing environments. The framework's objectives include large-scale system management, identifyingvarious attacks, early detection, rapid and accurate detection, scalability, and resistance to compromise.