Illegal Intrusion Detection of Internet of Things Based on Deep Mining Algorithm

Illegal Intrusion Detection of Internet of Things Based on Deep Mining Algorithm

In this study, to reduce the influence of The Internet of Things (IoT) illegal intrusion on the transmission effect, and ensure IoT safe operation, an illegal intrusion detection method of the Internet of Things (IoT) based on deep mining algorithm was designed to accurately detect IoT illegal intru...

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Bibliographic Details
Main Authors: Xingjuan Fan, Hui Li, Xinglong Liu, Fangtong Guo, Hongjing Ma
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2023-01-01
Series:Tehnički Vjesnik
Subjects:
data classification
deep mining algorithm
extreme learning machine
feature extraction
illegal intrusion detection
IoT
Online Access:https://hrcak.srce.hr/file/446417

Internet

https://hrcak.srce.hr/file/446417

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