Ensuring Data Integrity and Regulatory Compliance in Large-Scale Cloud Database Systems
Keywords:
audit architectures, cloud databases, cryptographic verification, data integrity, distributed transactions, multi-cloud systems, regulatory compliance, verifiable ledgerAbstract
The purpose of the project is to identify architectural mechanisms that ensure data integrity and regulatory compliance in large-scale cloud database systems operating under distributed and multi-cloud conditions. The research problem lies in reconciling high-throughput transactional performance with cryptographically verifiable state evolution and auditability requirements imposed by modern regulatory frameworks. The study addresses this problem through comparative architectural analysis, structural modeling of ledger-based data structures, and synthesis of contemporary research on confidential execution, audit synchronization, semantic analytics, and CI/CD validation mechanisms. The analysis demonstrates that state-oriented verification models, combined with batching strategies, cryptographic aggregation, and synchronized audit layers, reduce verification complexity and embed compliance into the structural configuration of database engines. The conclusions indicate that sustainable regulatory resilience emerges from coordinated interaction between cryptographic data structures, concurrency control, and lifecycle governance rather than from append-only logging alone. The significance of the project lies in providing a unified analytical framework for designing cloud database systems where scalability and compliance are structurally aligned.
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