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This paper investigates the use of blockchain technology to enhance security in cloud computing environments, with a particular focus on data privacy and integrity in multi-tenant systems. The research proposes a hybrid security model that integrates blockchain’s decentralized verification mechanisms with traditional encryption techniques to prevent unauthorized data access and tampering. The system architecture leverages blockchain for immutable transaction logging, while encryption ensures confidentiality. Performance metrics, such as breach detection time, data integrity validation, and computational overhead, are analyzed to assess the model's effectiveness. Experimental results demonstrate that the hybrid model significantly enhances data security in cloud environments by reducing breach detection time and improving data integrity. However, the implementation introduces moderate computational overhead, suggesting the need for further optimization for large-scale applications. Future research should explore scaling solutions such as sidechains or sharding to mitigate these challenges.
Fan Chen (Sat,) studied this question.