Latest research in Security for Anonymous Data Sharing in Cloud focuses on developing advanced cryptographic frameworks and protocols to ensure privacy, data integrity, and controlled access in cloud environments. Studies highlight techniques such as attribute-based encryption, proxy re-encryption, and elliptic curve operations to enable fine-grained access control while supporting anonymous and efficient data sharing. Research also addresses challenges in resource-constrained environments, such as IoT devices, by replacing traditional public-key operations with lightweight cryptographic methods. Additionally, cloud-assisted authentication schemes for sensitive data, including physiological and personal information, enhance security and privacy. Overall, these advancements provide scalable, secure, and privacy-preserving methodologies for anonymous data sharing in cloud computing systems.