Research on Data Encryption and Privacy Protection Technologies in Cloud Computing Environments

This study focuses on data encryption and privacy protection technologies in cloud computing environments. By systematically implementing and evaluating various encryption algorithms (such as AES, RSA, and homomorphic encryption) and privacy protection techniques (including data masking, differential privacy, secure multi-party computation, and zero-knowledge proofs), the feasibility and effectiveness of these technologies in cloud environments are explored. A simulated cloud environment was constructed for experiments, and the results indicate that AES performs excellently in large-scale data processing, while homomorphic encryption demonstrates unique advantages in specific scenarios. Privacy protection techniques can achieve a balance between protecting user privacy and maintaining data availability. System performance and security tests confirm that the proposed solutions effectively support the data security and privacy protection needs in large-scale cloud environments. This research provides a comprehensive technical implementation and evaluation reference for data security and privacy protection in cloud computing environments, while also highlighting some challenges and offering valuable insights for future research directions.