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CVCQ: Off-Chain Committee-Based Verifiable Cross-Chain Query Scheme for Large-Scale BIoT

文献类型： 外文期刊

作者： Yang, Haotian 1 ; Zhang, Xiaoyu 3 ; Liu, Lu 5 ; Wang, Liangmin 3 ; Xie, Zhan 3 ; Wang, Liang 3 ; Zhang, Cunzheng 1 ; Liu, Pengyan 6 ;

作者机构： 1.Jiangsu Univ, Sch Agr Engn, Zhenjiang 212013, Peoples R China

2.Jiangsu Key Lab Food Qual, Safety State Key Lab Cultivat Base, Nanjing 210014, Peoples R China

3.Southeast Univ, Sch Cyber Sci Engn, Nanjing 211189, Peoples R China

4.Minist Educ, Engn Res Ctr, BASAM Blockchain Applicat Supervis & Management, Nanjing 211189, Peoples R China

5.Univ Leicester, Sch Informat, Leicester LE1 7RH, England

6.Jiangsu Acad Agr Sci, Inst Food Safety & Nutr, Nanjing 210014, Peoples R China

关键词： Aggregation accumulator; blockchain; cross-region; cross-region; IoT; IoT; verifiability; verifiability; verifiability

期刊名称：IEEE INTERNET OF THINGS JOURNAL （ 影响因子：8.9； 五年影响因子：9.6 ）

ISSN： 2327-4662

年卷期： 2025 年 12 卷 9 期

页码：

收录情况： SCI

摘要： Blockchain with the Internet of Things (BIoT) denotes that the blockchain system is used for managing node identities in centerless IoT. Large-scale BIoT (L-BIoT) means many blockchains are used for managing node identities from different IoTs. The verifiable query scheme for BIoT was widely discussed in real-time IoT system. However, the query scheme will require cross-chain operations when BIoT expands into L-BIoT. Cross-chain verifiable query schemes for BIoT exist two issues. 1) Multiround Consensus: Cross-chain query requires the relay chain and related chains to participate in consensus, and each interaction requires initiating one consensus round. 2) High-Overhead Verification: Each data item returned by various blockchains requires individual integrity verification. We propose CVCQ, an off-chain committee (OC)-based verifiable cross-chain query scheme for L-BIoT. CVCQ achieves only one-round consensus by shifting the on-chain data query and consensus to an OC. Meanwhile, the aggregation accumulator and proofs are utilized to verify data integrity, ensuring the low-overhead verification. We proved that CVCQ reduces complexity of consensus from O(m(lambda+1) + m N-lambda) to O(m(lambda)), and decreases the computational complexity of verification from O(m log n) to O(1), when cross-chain data query involving m regional IoTs with N nodes and n data. The experiment results show that CVCQ outperforms the existing schemes by achieving higher on-chain throughput and lower latency.

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