Published Paper Details:

Cloud computing has revolutionized the way businesses and individuals store and access data, but its increasing adoption raises significant concerns regarding data security and privacy. Among the most critical challenges are issues related to data redundancy, unauthorized access, and dynamic data ownership. This paper presents innovative strategies to address these concerns by focusing on two core techniques: data deduplication and dynamic ownership models. Data deduplication plays a pivotal role in optimizing storage, reducing overhead, and enhancing data security by eliminating redundant data copies. Meanwhile, dynamic ownership strategies ensure that data access and control are efficiently managed in cloud environments, enhancing privacy protection. This paper explores the integration of these strategies within cloud security frameworks, presenting an in-depth analysis of their potential to improve data security, scalability, and privacy. Additionally, we evaluate their performance, challenges, and future research directions, providing a comprehensive approach to transforming cloud security in the context of modern data management.