Abstract
Hybrid-storage blockchains have become a promising paradigm for scaling up query processing services. This paradigm provides a hybrid on/off-chain approach, where only small metadata is stored on-chain while the raw data is outsourced to off-chain storage. The key concerns for query processing in such a system are security and query integrity. However, existing schemes mostly address an impractical honest-but-curious model, rather than a more realistic malicious model, due to the intricate interplay between security and query integrity. Additionally, supporting efficient dynamic update with forward security is a significant challenge for blockchain systems. To address these issues, in this paper, we first formally define the problem of secure, reliably verifiable, and dynamic Boolean range queries in hybrid-storage blockchains (SRVF). Then, we propose a novel index called Virtual Keyword Forest (VKF), which achieves secure and reliably verifiable query processing in hybrid-storage blockchains. To support dynamic queries with forward security, we propose an adaptive version-control update scheme to integrate into VKF. Furthermore, to reduce communication overhead and gas consumption, we design an aggregation signature algorithm that ensures the verification information is of a fixed size. We provide theoretical security analysis and empirical evaluations, comparing our proposed approaches with the state-of-the-art approaches, to demonstrate their feasibility.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2025 IEEE 41st International Conference on Data Engineering, ICDE 2025 |
| Editors | Lisa O’Conner |
| Place of Publication | Hong Kong |
| Publisher | IEEE |
| Pages | 1664-1676 |
| Number of pages | 13 |
| ISBN (Electronic) | 9798331536039 |
| ISBN (Print) | 9798331536046 |
| DOIs | |
| Publication status | Published - 19 May 2025 |
| Event | 41st IEEE International Conference on Data Engineering, ICDE 2025 - The Hong Kong Polytechnic University, Hong Kong, China Duration: 19 May 2025 → 23 May 2025 https://ieee-icde.org/2025/ (Conference website) https://ieee-icde.org/2025/research-papers/ https://www.computer.org/csdl/proceedings/icde/2025/26FZy3xczFS (Conference proceeding) |
Publication series
| Name | Proceedings - International Conference on Data Engineering |
|---|---|
| ISSN (Print) | 1063-6382 |
| ISSN (Electronic) | 2375-026X |
Conference
| Conference | 41st IEEE International Conference on Data Engineering, ICDE 2025 |
|---|---|
| Abbreviated title | ICDE 2025 |
| Country/Territory | China |
| City | Hong Kong |
| Period | 19/05/25 → 23/05/25 |
| Internet address |
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UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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