Mr. Chethan P J,
Akash Kumar B S,
Sanjay G B,
Sudeep C P,
Yogesh Kumar S S,
Abstract
Searchable encryption (SE) has become an essential cryptographic technique, allowing users to securely search through encrypted data. However, most existing SE schemes rely on a single intermediary, such as a cloud server, leading to potential single-point failures, privacy breaches, and untrustworthy results. Numerous blockchain-based searchable encryption (SE) schemes have been proposed to tackle these issues. However, they frequently encounter difficulties such as supporting a multi-keyword, multi-owner model, ensuring query privacy, and maintaining data storage availability. In this paper, we introduce a novel approach for Privacy-Preserving Multi-Keyword Search in a Multi-Owner Setting. Our scheme allows searching over encrypted data in a trustworthy, private, and efficient manner. We integrate the attribute Bloom filter into our scheme to construct indexes, enhancing query privacy and improving index generation performance. To ensure data storage availability, our scheme utilizes the IPFS (Interplanetary File System) for storing a large scale of encrypted data. We provide security proof and comparative analysis demonstrating that our scheme is more secure and efficient than existing schemes. Additionally, experiments performed on a real-world dataset confirm the practical feasibility of our approach. By addressing the limitations of existing schemes, our approach offers a robust solution for privacy-preserving multi-keyword search in a multi-owner setting, making it suitable for various applications where data privacy and security are paramount.
Keywords: Searchable encryption, Privacy-Preserving, multi-keyword search, blockchain-based, encrypted data
[This article belongs to Journal of Advances in Shell Programming(joasp)]
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Journal of Advances in Shell Programming
| Volume | 11 |
| Issue | 02 |
| Received | May 7, 2024 |
| Accepted | June 10, 2024 |
| Published | July 4, 2024 |