Abstract:
Cloud computing offers a flexible architecture that allows for the dissemination of data and resources across several locations, hence easing accessibility from various industrial settings. As a direct consequence of the proliferation of cloud computing, the industrial sector has seen significant shifts in the utilisation, retention, and distribution of resources, such as data, services, and applications. These changes have been brought about by the cloud. In the business world during the last several years, there has been a considerable growth in the number of companies that employ cloud computing. This trend may be attributed to the desire to capitalise on improved operational efficiency, cost reduction, and increased availability. Furthermore, the integration of cloud computing has played a pivotal role in enhancing the functionality and performance of the internet of things (IoT). Nevertheless, the rapid transition to cloud computing has raised several security issues and presented other obstacles. Cloud-based systems can provide unique challenges when it comes to applying traditional security measures, which might occasionally prove to be insufficient in ensuring effective protection. In recent years, there has been a proliferation of various cyber weapons, leading to concerns over the security and reliability of cloud platforms. However, it is worth noting that significant progress has been made in addressing these problems and mitigating security risks associated with cloud platforms during the last three years. Deep learning, which is a subfield of artificial intelligence, has been making fast strides in recent years, which has resulted in a number of benefits that may or may not be able to give answers to issues about cloud-based industrial security. The following are some of the effects that may be expected from the research that was proposed: The purpose of this article is to provide a comprehensive examination of the architecture, functionality, configurations, and security frameworks that make cloud-based Internet of Things (IoT) systems possible. This research investigates the categorization of security concerns that are associated with cloud-based Internet of Things (IoT) systems, with a specific focus on data, network and service, application, and people-related security issues. It provides a comprehensive examination of each category, delivering in-depth insights into the many security risks associated with them. In addition, we perform an investigation into the most recent advancements in attacks that are directed at cloud-based Internet of Things (IoT) systems, and we assess the risks that are associated with these attacks. Lastly, we identify and discuss potential strategies for mitigating these risks.
