A Review on Various Algorithm for Data Security and Privacy in Cloud Computing

Cloud computing has revolutionized data management by providing scalable, on-demand, and cost-effective computing services through the internet. Its rapid adoption across industries such as education, healthcare, and finance has transformed how organizations store and process sensitive information. However, this shift to third-party cloud infrastructures has raised growing concerns about data security, privacy protection, and regulatory compliance. As critical and confidential data is increasingly stored beyond organizational boundaries, ensuring its integrity, confidentiality, and availability has become a major challenge.This study focuses on a literature-based examination of current research related to data security and privacy in cloud computing environments. Instead of conducting primary surveys or experimental work, the research systematically reviews academic publications, security models, and technical frameworks that address the major risks associated with cloud storage and data transmission. The study emphasizes key security mechanisms such as encryption algorithms, access control systems, authentication protocols, and regulatory standards including the General Data Protection Regulation (GDPR) and ISO/IEC 27018, which govern the protection of personally identifiable information (PII) in cloud platforms.Findings from the reviewed literature reveal that although encryption, access control, and authentication significantly strengthen data protection, challenges remain in achieving transparency, maintaining compliance, and balancing performance with security requirements. Moreover, concerns about data ownership, vendor dependency, and jurisdictional issues continue to complicate secure cloud adoption. The research highlights that no single solution can completely eliminate security risks; instead, a layered and integrated security framework—combining technical, legal, and ethical considerations—is essential for sustainable protection.This study contributes to the understanding of cloud security by consolidating knowledge from diverse academic sources, identifying gaps in existing protection models, and suggesting directions for future research. It emphasizes the necessity of continuous monitoring, adaptive encryption techniques, and compliance-driven governance to enhance trust between cloud users and service providers. Ultimately, the research aims to encourage the development of a secure and privacy-preserving cloud ecosystem that aligns technological innovation with global data protection principles. (Abstract)