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...
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: | |
Online Access: | https://hrcak.srce.hr/file/446417 |
Similar Items
-
Biometric Authentication-Based Intrusion Detection Using Artificial Intelligence Internet of Things in Smart City
by: C. Annadurai, et al.
Published: (2022-10-01) -
A Transferable Deep Learning Framework for Improving the Accuracy of Internet of Things Intrusion Detection
by: Haedam Kim, et al.
Published: (2024-02-01) -
A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
by: Han Liao, et al.
Published: (2024-01-01) -
A Survey of Intrusion Detection Using Deep Learning in Internet of Things
by: baraa I. Farhan, et al.
Published: (2022-01-01) -
A zero-trust based scheme for detecting illegal terminals in the Internet of Things of smart grid
by: Hongyu Zhu, et al.
Published: (2025-03-01)