Achieving Secure, Verifiable, and Efficient Boolean Keyword Searchable Encryption for Cloud Data Warehouse

Aim:

         The aim of this paper is to propose a secure and verifiable searchable encryption scheme for cloud data warehouses that supports Boolean expression queries. The scheme integrates Partial Homomorphic Encryption, B+Tree, Inverted Index, and bitmapping, leveraging blockchain and smart contracts to enhance scalability and efficiency.

Abstract:

        Cloud data warehouse (CDW) platforms provide extensive storage and seamless accessibility for business users, often involving encryption of sensitive data before cloud outsourcing. Despite this, querying encrypted data within a data warehouse remains unsupported by conventional analytical tools. Searchable Encryption (SE) techniques facilitate keyword searches over encrypted data, but existing schemes fall short in supporting Boolean expression queries critical for querying DW schemas. This paper introduces a secure and verifiable searchable encryption scheme tailored for CDWs, incorporating Partial Homomorphic Encryption (PHE), B+Tree, Inverted Index, and bitmapping functions to achieve privacy-preserving and efficient search performance. To address scalability without relying on third parties for result verification, the scheme utilizes blockchain and smart contracts for automating authentication, index retention, and trapdoor generation. Comparative experiments demonstrate that our scheme outperforms existing approaches in terms of proficiency and effectiveness.

Exising System:

      Existing systems for SE in CDWs focus on enabling keyword searches over encrypted data but face challenges related to supporting Boolean expressions, ensuring efficient and scalable indexing, and verifying search results without third-party involvement. While homomorphic encryption and blockchain integration offer promising solutions, practical implementations often struggle with performance and complexity issues.Current systems for keyword searchable encryption (SE) in cloud data warehouses (CDWs) involve techniques that allow users to perform keyword searches on encrypted data. These methods ensure data privacy by encrypting data before it is outsourced to the cloud. However, there are several limitations and challenges in existing SE schemes, particularly when it comes to supporting Boolean expressions and complex queries over encrypted data.

Disadvantage:

       Integrating Partial Homomorphic Encryption (PHE), B+Tree, inverted index, bitmapping functions, and blockchain technology into a cohesive system can be highly complex and challenging. The need for expertise in multiple advanced technologies may make implementation difficult and error-prone. While the proposed system aims to optimize performance, the use of PHE and blockchain may still introduce significant computational and latency overheads compared to simpler encryption methods. Operations on encrypted data, particularly with PHE, can be slower than operations on plaintext data, potentially impacting real-time query performance.

Proposed System:

      The proposed system aims to address the limitations of existing searchable encryption (SE) schemes by supporting complex Boolean expression queries, ensuring efficient and scalable indexing, and providing verifiable search results without relying on third-party verification. The system leverages Partial Homomorphic Encryption (PHE), advanced indexing techniques, and blockchain technology to achieve these goals. The proposed system offers a robust solution for secure, verifiable, and efficient Boolean keyword searchable encryption in cloud data warehouses. By integrating Partial Homomorphic Encryption, advanced indexing techniques, and blockchain technology, the system addresses the limitations of existing SE schemes and provides enhanced search capabilities, efficient query processing, and verifiable search results without third-party involvement.

Advantage:

       The proposed system offers significant advantages in terms of security, query complexity support, efficient and scalable indexing, decentralized verification, improved search performance, fine-grained access control, trust and transparency, versatility, reduced third-party dependence, and comprehensive evaluation. These benefits make it a robust and efficient solution for secure, verifiable, and efficient Boolean keyword searchable encryption in cloud data warehouses. Allows operations on encrypted data without needing to decrypt it, maintaining data confidentiality. Ensures that sensitive data remains secure and private, protecting against unauthorized access and breaches. Enables the use of complex Boolean queries, allowing for more sophisticated and precise search conditions over encrypted data. Facilitates efficient searching using multiple keywords, improving search flexibility and utility.