Abstract: Cloud Data Warehouses (CDWs) are widely adopted for their scalable storage and on-demand access capabilities. To protect sensitive analytical data, encryption is commonly applied before outsourcing it to the cloud. However, executing complex Boolean keyword searches over encrypted data remains a significant challenge due to the limitations of existing Searchable Encryption (SE) schemes. This paper presents a verifiable and efficient Boolean keyword search system tailored for encrypted cloud warehouses. The proposed system leverages Partial Homomorphic Encryption (PHE), B+ Trees, Inverted Indexing, and bitmapping to enable secure and expressive query support. To ensure result integrity without relying on third-party verification, blockchain and smart contracts are utilized for automated authentication, index management, and trapdoor generation. Performance evaluations demonstrate that the system achieves high efficiency and scalability while maintaining strong security guarantees, outperforming existing approaches in both search speed and verifiability.

Keywords: Cloud Security, Encrypted Search, Boolean Keyword Search, Verifiable Search, Secure Indexing, Cryptographic Proofs

| DOI: 10.17148/IARJSET.2025.12454