Blockchain Assisted Secure Data Sharing Model for Internet of Things Based Smart Industries

被引:70
作者
Manogaran, Gunasekaran [1 ,2 ]
Alazab, Mamoun [3 ]
Shakeel, P. Mohamed [4 ]
Hsu, Ching-Hsien [5 ,6 ]
机构
[1] Univ Calif Davis, Davis, CA 92521 USA
[2] Asia Univ, Coll Informat & Elect Engn, Taichung 41354, Taiwan
[3] Charles Darwin Univ, Coll Engn IT & Environm, Casuarina, NT 0815, Australia
[4] Univ Tekn Malaysia Melaka, Fac Informat & Commun Technol, Durian Tunggal 76100, Malaysia
[5] Asia Univ, Dept Comp Sci & Informat Engn, Taichung 41354, Taiwan
[6] China Med Univ, Med Univ Hosp, Dept Med Res, Taichung 40402, Taiwan
关键词
Blockchain; Industries; Security; Intelligent sensors; Industrial Internet of Things; Authentication; Reliability; blockchain; industrial Internet of Things (IIoT); recurrent learning; reputation management; IOT; SYSTEM; CHALLENGES; 5G;
D O I
10.1109/TR.2020.3047833
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Industrial Internet of Things is focused to improve the performance of smart factories through automation and scalable functions. IoT paradigm, information and communication technology, and intelligent computing are assimilated as a single entity for industrial automation, optimization, sharing and security, and scalability. In a view of the security requirement in smart industry data sharing through IoT, this article introduces a blockchain-assisted secure data sharing (BSDS) model. This model is responsible for administering inbound and outbound security in data acquisition and dissemination. The inbound acquisition is first classified using recurrent learning to identify adverse sequences in data dissemination. In the outbound security measure, end-to-end authentication based on the blockchain information of reputation and sequence differentiation is engaged. The blockchain paradigm controls the data gathering and dissemination instances through the classification and integrity verification in both the industry and processing terminals. For this purpose, the functions of the blockchain are riven for data gathering and monitoring in the smart industry whereas integrity and sequence verification is performed by the nonmining blockchain terminal in the processing environment. The integrated security measures are capable of maximizing the response rate by confining false alarm progression, failure rate, and time delay. Statistical analysis shows that the BSDS achieves a 5.67% high response rate and reduces the failure rate by 2.14%. Further, it achieves 3.12%, maximizes response rate by 6.63%, and reduces delay by 11.91%, respectively.
引用
收藏
页码:348 / 358
页数:11
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