Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks

Abstract

Cloud computing provides both opportunities and challenges for maintaining user privacy and security. This study addresses these issues by proposing unique ways for boosting security and reducing privacy threats in multi-cloud systems. A significant priority is the creation of the Global Authentication Register System (GARS), a comprehensive strategy for mitigating the danger of material outflow in cloud environments while prioritizing privacy safeguards. The study addresses the specific security and privacy concerns faced by multi-cloud systems and presents the GARS as a pioneering solution based on a thorough review of the literature. System simulations are used to examine the effectiveness of GARS, including performance, security, and availability. Furthermore, user-centric privacy-preserving strategies are created based on insights gleaned from user research, guaranteeing that privacy concerns are effectively addressed across various cloud platforms. The report also looks at advanced threats and upcoming technologies, which can help strengthen the security framework's resilience against sophisticated cyberattacks. Regulatory compliance and data sovereignty are prioritized, with the security architecture built to meet legal criteria while efficiently managing data sovereignty concerns. The methodology takes a multidisciplinary approach, combining several analytical tools to deliver practical recommendations for enhancing cloud computing systems' security posture. Overall, the goal of this research is to help create a more secure and reliable computing environment for enterprises and individual users functioning in multi-cloud environments.