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Towards Dynamic Boolean Range Query Over Hybrid-Storage Blockchains: A Secure and Reliably Verifiable Framework

  • Ningning Cui
  • , Dong Wang*
  • , Jianxin Li
  • , Huaijie Zhu
  • , Xiaochun Yang
  • , Jianliang Xu
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

4 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2025 IEEE 41st International Conference on Data Engineering, ICDE 2025
EditorsLisa O’Conner
Place of PublicationHong Kong
PublisherIEEE
Pages1664-1676
Number of pages13
ISBN (Electronic)9798331536039
ISBN (Print)9798331536046
DOIs
Publication statusPublished - 19 May 2025
Event41st 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

NameProceedings - International Conference on Data Engineering
ISSN (Print)1063-6382
ISSN (Electronic)2375-026X

Conference

Conference41st IEEE International Conference on Data Engineering, ICDE 2025
Abbreviated titleICDE 2025
Country/TerritoryChina
CityHong Kong
Period19/05/25 → 23/05/25
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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