Research on Anonymous Data Sharing for Cloud Security focuses on developing privacy-preserving mechanisms that enable secure data exchange among users, applications, and cloud services without revealing sensitive identities or compromising data confidentiality. This area addresses challenges such as data leakage, identity exposure, untrusted cloud providers, and compliance with privacy regulations. Key research directions include designing cryptographic and anonymization techniques such as homomorphic encryption, differential privacy, and secure multi-party computation for anonymous sharing. Other emerging topics involve blockchain-based anonymous data exchange frameworks, attribute-based encryption for fine-grained access control, and federated learning for decentralized privacy-preserving collaboration. Additionally, research on identity obfuscation in multi-tenant cloud environments, trust and reputation management without user identification, and lightweight anonymity protocols for resource-constrained edge–cloud systems represents significant avenues for advancing secure, private, and trustworthy data sharing in cloud computing environments.