DOAJ Open Access 2025

Blockchain-based Highly Trusted Query Verification Scheme for Streaming Data

YANG Fan, SUN Yi, LIN Wei, GAO Qi

Abstrak

With the popularization of intelligent IoT applications,IoT devices are required to continuously collect a large amount of streaming data for real-time processing.Due to their resource constraints,a large amount of stream data must be outsourced to server storage management.How to ensure the integrity of stream data with strong real-time and infinite growth is a complex and challenging problem.Although research has proposed schemes for streaming data integrity verification,the correctness and data integrity of query results returned by malicious servers in untrustworthy outsourced storage service environments are still not guaranteed.Recently,the emergence of blockchain technology based on distributed consensus implementation brings new solution ideas and methods to the data integrity verification problem,therefore,this paper proposes a highly trustworthy streaming data query verification scheme based on the immutability of blockchain,and designs a low-maintenance data structure CS-DCAT on the blockchain,which only stores the root node hash value of the authentication tree on the blockchain.It is suitable for processing streaming data with unpredictable data volume and can realize range query verification of streaming data.The security analysis proves the correctness and security of this scheme,and the performance evaluation shows that this scheme can realize low gas overhead on the blockchain,and the computational complexity of range query and verification is only related to the current data volume,which does not introduce too much extra computational cost and communication overhead.

Penulis (1)

Y

YANG Fan, SUN Yi, LIN Wei, GAO Qi

Format Sitasi

Qi, Y.F.S.Y.L.W.G. (2025). Blockchain-based Highly Trusted Query Verification Scheme for Streaming Data. https://doi.org/10.11896/jsjkx.240100184

Akses Cepat

Lihat di Sumber doi.org/10.11896/jsjkx.240100184
Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.11896/jsjkx.240100184
Akses
Open Access ✓