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Temporal Index Scheme of Hyperledger Fabric System in IoT
As a large number of mobile terminals are connected to the IoT, the security problem of IoT is a challenge to the IoT technology. Blockchain technology has the characteristics of decentralization, data encryption, smart contract, and so on, especially suitable in the complex heterogeneous network. H...
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Published in: | Wireless communications and mobile computing 2021, Vol.2021 (1) |
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description | As a large number of mobile terminals are connected to the IoT, the security problem of IoT is a challenge to the IoT technology. Blockchain technology has the characteristics of decentralization, data encryption, smart contract, and so on, especially suitable in the complex heterogeneous network. However, sequential access based on block files in the blockchain hinders efficient query processing. The problem is due to current blockchain solutions do not support temporal data processing. In this paper, we propose two index building methods (TISD and TIF) to address this issue in Hyperledger Fabric System. TISD (temporal index based on state databases) segments the historical data by time interval in the time dimension and indexes events at the same time interval. TIF (temporal index based on files) builds the index of files by the block transaction data, which is arranged in chronological order and is stored at a certain time interval. In the experimental part, we compare the query time on two datasets and analyse the query performance. Experiments demonstrated that our two methods are relatively stable in overall time performance on different datasets in the Hyperledger Fabric System. |
doi_str_mv | 10.1155/2021/9945530 |
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Blockchain technology has the characteristics of decentralization, data encryption, smart contract, and so on, especially suitable in the complex heterogeneous network. However, sequential access based on block files in the blockchain hinders efficient query processing. The problem is due to current blockchain solutions do not support temporal data processing. In this paper, we propose two index building methods (TISD and TIF) to address this issue in Hyperledger Fabric System. TISD (temporal index based on state databases) segments the historical data by time interval in the time dimension and indexes events at the same time interval. TIF (temporal index based on files) builds the index of files by the block transaction data, which is arranged in chronological order and is stored at a certain time interval. In the experimental part, we compare the query time on two datasets and analyse the query performance. Experiments demonstrated that our two methods are relatively stable in overall time performance on different datasets in the Hyperledger Fabric System.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2021/9945530</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Algorithms ; Blockchain ; Cryptography ; Data processing ; Datasets ; Digital currencies ; Internet of Things ; Performance indices ; Privacy ; Queries ; Query processing ; Sensors</subject><ispartof>Wireless communications and mobile computing, 2021, Vol.2021 (1)</ispartof><rights>Copyright © 2021 Yongqiang Lu et al.</rights><rights>Copyright © 2021 Yongqiang Lu et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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subjects | Algorithms Blockchain Cryptography Data processing Datasets Digital currencies Internet of Things Performance indices Privacy Queries Query processing Sensors |
title | Temporal Index Scheme of Hyperledger Fabric System in IoT |
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