SECURE AND VERIFIABLE SEARCHABLE ENCRYPTION FOR CLOUD DATA WAREHOUSES

Abstract

With the growing reliance on Cloud Data Warehouse (CDW) platforms for large-scale data storage and analytics, ensuring the security of sensitive information has become increasingly important. To protect data privacy, organizations often encrypt their warehouse data before outsourcing it to the cloud. However, this encryption limits the ability to perform meaningful queries using conventional tools. In this work, we introduce a secure and efficient searchable encryption scheme specifically designed for encrypted CDW environments. Our approach employs Partial Homomorphic Encryption (PHE), Inverted Index structures, and bitmapping techniques to enable fast and privacy preserving search over encrypted datasets. To further ensure the integrity and trustworthiness of search results without involving a third-party auditor, we integrate blockchain and smart contract mechanisms for decentralized verification, index management, and secure query handling. Experimental results validate the effectiveness of our solution, showing improvements in both search performance and data security compared to existing methods. In addition, our design ensures scalability and adaptability in real-world CDW scenarios. The proposed scheme bridges the gap between data privacy and practical query usability, making it a viable solution for secure cloud-based analytics.