4.8 Article

A Secure FaBric Blockchain-Based Data Transmission Technique for Industrial Internet-of-Things

期刊

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 15, 期 6, 页码 3582-3592

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2907092

关键词

Blockchain; data consensus; FaBric; sharing management

资金

  1. National Science Foundation of China [61572186, 61572188, 61772195, 61702318]
  2. Xiamen Science and Technology Foundation [3502Z20173035]
  3. Scientific Research Program of the New Century Excellent Talents in Fujian Province University, Fujian Provincial Natural Science Foundation of China [2018J01570]
  4. Hunan Provincial Natural Science Foundation [2018JJ2156]
  5. Open Foundation of Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information (South China University of Technology) [x2js-k5181930]
  6. 13th Five-Year Plan of Education Science Program of Hunan Province [XJK17BXX004]
  7. CERNET Innovation Project [NGII20170411]

向作者/读者索取更多资源

The previous blockchain data transmission techniques in industrial Internet of Things (IoT) have low security, high management cost of the trading center, and big difficulty in supervision. To address these issues, this paper proposes a secure FaBric blockchain-based data transmission technique for industrial IoT. This technique uses the blockchain-based dynamic secret sharingmechanism. A reliable trading center is realized using the power blockchain sharing model, which can also share power trading books. The power data consensus mechanism and dynamic linked storage are designed to realize the secure matching of the power data transmission. Experiments show that the optimized FaBric power data storage and transmission has high security and reliability. The proposed technique can improve the transmission rate and packet receiving rate by 12% and 13%, respectively. Moreover, the proposed technique has good superiority in sharing management and decentralization.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据