Homomorphic Encryption for Privacy-PreservingData Processing in Distributed DBMS
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Abstract
With the exponential growth of data distributed across cloud infrastructures and federated systems, ensuring privacy and security during data processing has become a critical challenge. Homomorphic encryption (HE) offers a transformative solution by enabling computations on encrypted data without decryption. This paper explores the integration of HE in Distributed Database Management Systems (DDBMS), presenting a comprehensive overview of the techniques, benefits, challenges, and real-world applicability of this approach. We evaluate various homomorphic encryption schemes and propose an architecture for secure query processing in DDBMS using partial homomorphism. The paper concludes with a performance analysis and future research directions in optimizing privacy-preserving mechanisms within distributed environments.
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