Blockchain-based Highly Trusted Query Verification Scheme for Streaming Data

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.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.11896/jsjkx.240100184
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00
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article

Blockchain-based Highly Trusted Query Verification Scheme for Streaming Data

SHILAP Revista de lepidopterología
Soil Moisture and Remote Sensing
article

Blockchain-based Highly Trusted Query Verification Scheme for Streaming Data

article en

Abstract

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.

SHILAP Revista de lepidopterología
PLA Information Engineering University (CN)
Openalex Percentile: Top 52%
Soil Moisture and Remote Sensing
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Blockchain-based Highly Trusted Query Verification Scheme for Streaming Data · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS