Title | ||
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Privacy-Enhanced Data Fusion for COVID-19 Applications in Intelligent Internet of Medical Things |
Abstract | ||
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With the worldwide large-scale outbreak of COVID-19, the Internet of Medical Things (IoMT), as a new type of Internet of Things (IoT)-based intelligent medical system, is being used for COVID-19 prevention and detection. However, since the widespread use of IoMT will generate a large amount of sensitive information related to patients, it is becoming more and more important yet challenging to ensu... |
Year | DOI | Venue |
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2021 | 10.1109/JIOT.2020.3033129 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Task analysis,Data integration,COVID-19,Data privacy,Internet of Things,Servers | Journal | 8 |
Issue | ISSN | Citations |
21 | 2327-4662 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hui Lin | 1 | 21 | 6.08 |
Sahil Garg | 2 | 267 | 40.16 |
Jia Hu | 3 | 337 | 44.45 |
Xiaoding Wang | 4 | 7 | 3.15 |
Md Jalil Piran | 5 | 32 | 8.71 |
Mohammod Shamim Hossain | 6 | 268 | 34.68 |