Title
Towards Secure Data Fusion in Industrial IoT using Transfer Learning
Abstract
As an emerging technology, the industrial Internet of Things (IIoT) can promote the development of industrial intelligence, improve production efficiency, and reduce manufacturing costs. In IIoT, the improvement and progress of industrial production and applications are inseparable from data fusion, a process that realizes the collection, analysis, and processing of the massive IoT data generated ...
Year
DOI
Venue
2021
10.1109/TII.2020.3038780
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Task analysis,Data integration,Receivers,Servers,Data privacy,5G mobile communication,Security
Journal
17
Issue
ISSN
Citations 
10
1551-3203
4
PageRank 
References 
Authors
0.42
0
5
Name
Order
Citations
PageRank
Hui Lin1216.08
Jia Hu233744.45
xiaoding wang3166.10
Mohammed F. Alhamid416421.55
Md Jalil Piran5328.71