The real-time data processing framework for blockchain and edge computing
The rapid growth of IoT has increased the demand for large-scale data processing. However, traditional centralized methods struggle with real-time requirements and data security. This paper introduces VCD-TSNet, a novel real-time IoT data processing framework that combines blockchain and edge comput...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-05-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S111001682500119X |
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| _version_ | 1823856889758220288 |
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| author | Zhaolong Gao Wei Yan |
| author_facet | Zhaolong Gao Wei Yan |
| author_sort | Zhaolong Gao |
| collection | DOAJ |
| description | The rapid growth of IoT has increased the demand for large-scale data processing. However, traditional centralized methods struggle with real-time requirements and data security. This paper introduces VCD-TSNet, a novel real-time IoT data processing framework that combines blockchain and edge computing. By integrating deep learning models like VGG, ConvLSTM, and DNN, VCD-TSNet effectively performs spatial feature extraction, temporal modeling, and decision-making, while using blockchain to ensure data integrity and privacy. Experimental results demonstrate that VCD-TSNet outperforms baseline models in classification accuracy, prediction precision, and real-time performance. For instance, on the BoT-IoT dataset, the classification accuracy reaches 97.5%, throughput increases to 920 TPS, and response time stays below 85 ms. This study validates the model’s effectiveness and highlights its potential in large-scale IoT environments, offering efficient, secure solutions for real-time data processing. It also provides insights for future improvements in frameworks that combine edge computing with blockchain. |
| format | Article |
| id | doaj-art-2e25eb9fceea4cf291629e5fee51dad9 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-2e25eb9fceea4cf291629e5fee51dad92025-02-12T05:30:43ZengElsevierAlexandria Engineering Journal1110-01682025-05-011205061The real-time data processing framework for blockchain and edge computingZhaolong Gao0Wei Yan1School of Computer Science and Technology, Shandong Technology and Business University, Yantai, 264005, China; Corresponding author.College of Innovation and Entrepreneurship (College of Blockchain Application Technology), Shandong Technology and Business University, Yantai, 264005, ChinaThe rapid growth of IoT has increased the demand for large-scale data processing. However, traditional centralized methods struggle with real-time requirements and data security. This paper introduces VCD-TSNet, a novel real-time IoT data processing framework that combines blockchain and edge computing. By integrating deep learning models like VGG, ConvLSTM, and DNN, VCD-TSNet effectively performs spatial feature extraction, temporal modeling, and decision-making, while using blockchain to ensure data integrity and privacy. Experimental results demonstrate that VCD-TSNet outperforms baseline models in classification accuracy, prediction precision, and real-time performance. For instance, on the BoT-IoT dataset, the classification accuracy reaches 97.5%, throughput increases to 920 TPS, and response time stays below 85 ms. This study validates the model’s effectiveness and highlights its potential in large-scale IoT environments, offering efficient, secure solutions for real-time data processing. It also provides insights for future improvements in frameworks that combine edge computing with blockchain.http://www.sciencedirect.com/science/article/pii/S111001682500119XBlockchainReal-time data processingIoTEdge computingDeep learning |
| spellingShingle | Zhaolong Gao Wei Yan The real-time data processing framework for blockchain and edge computing Alexandria Engineering Journal Blockchain Real-time data processing IoT Edge computing Deep learning |
| title | The real-time data processing framework for blockchain and edge computing |
| title_full | The real-time data processing framework for blockchain and edge computing |
| title_fullStr | The real-time data processing framework for blockchain and edge computing |
| title_full_unstemmed | The real-time data processing framework for blockchain and edge computing |
| title_short | The real-time data processing framework for blockchain and edge computing |
| title_sort | real time data processing framework for blockchain and edge computing |
| topic | Blockchain Real-time data processing IoT Edge computing Deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S111001682500119X |
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