A Sharding Scheme-Based Many-Objective Optimization Algorithm for Enhancing Security in Blockchain-Enabled Industrial Internet of Things
文献类型：期刊论文
| 作者 | Cai, Xingjuan2; Geng, Shaojin2; Zhang, Jingbo2; Wu, Di2; Cui, Zhihua2; Zhang, Wensheng3 ; Chen, Jinjun1
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| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
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| 出版日期 | 2021-11-01 |
| 卷号 | 17期号:11页码:7650-7658 |
| 关键词 | Blockchain Industrial Internet of Things Throughput Optimization Scalability Load modeling Delays Blockchain industrial Internet of Things (IIoT) many-objective optimization algorithm privacy preservation scalability security |
| ISSN号 | 1551-3203 |
| DOI | 10.1109/TII.2021.3051607 |
| 通讯作者 | Cui, Zhihua(zhihua.cui@hotmail.com) |
| 英文摘要 | While the industrial Internet of Things (IIoT) can support efficient control of the physical world through large amounts of industrial data, data security has been a challenge due to various interconnections and accesses. Blockchain technology can support security and privacy preservation in IIoT data with its trusted and reliable security mechanism. Sharding technology can help improve the overall throughput and scalability of blockchain networks. However, the effectiveness of sharding is still challenging due to the uneven distribution of malicious nodes. By aiming to improve the performance of blockchain networks and reduce the possibility of malicious node aggregation, in this article, we propose a many-objective optimization algorithm based on the dynamic reward and penalty mechanism (MaOEA-DRP) to optimize the shard validation validity model. Then, an optimal blockchain sharding scheme is obtained. Compared with other state-of-the-art many-objective optimization algorithms, MaOEA-DRP performs better on the DTLZ test suite. The simulation results demonstrate that our proposed algorithm can significantly improve the throughput and validity of sharding for better security in the blockchain-enabled IIoT. |
| WOS关键词 | PERFORMANCE |
| WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000679533900045 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.ia.ac.cn/handle/173211/46563]  |
| 专题 | 精密感知与控制研究中心_人工智能与机器学习 |
| 通讯作者 | Cui, Zhihua |
| 作者单位 | 1.Swinburne Univ Technol, Comp Sci & Software Engn, Hawthorn, Vic 3122, Australia 2.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100864, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cai, Xingjuan,Geng, Shaojin,Zhang, Jingbo,et al. A Sharding Scheme-Based Many-Objective Optimization Algorithm for Enhancing Security in Blockchain-Enabled Industrial Internet of Things[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2021,17(11):7650-7658. |
| APA | Cai, Xingjuan.,Geng, Shaojin.,Zhang, Jingbo.,Wu, Di.,Cui, Zhihua.,...&Chen, Jinjun.(2021).A Sharding Scheme-Based Many-Objective Optimization Algorithm for Enhancing Security in Blockchain-Enabled Industrial Internet of Things.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,17(11),7650-7658. |
| MLA | Cai, Xingjuan,et al."A Sharding Scheme-Based Many-Objective Optimization Algorithm for Enhancing Security in Blockchain-Enabled Industrial Internet of Things".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 17.11(2021):7650-7658. |
入库方式： OAI收割
来源：自动化研究所
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