A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things-Reference-Cited by-同舟云学术

A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things

Author:

Liao Han¹^ORCID,Murah Mohd Zamri¹^ORCID,Hasan Mohammad Kamrul¹^ORCID,Aman Azana Hafizah Mohd¹,Fang Jin¹,Hu Xuting²^ORCID,Khan Atta Ur Rehman³^ORCID

Affiliation:

1. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia

2. Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China

3. College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates

Funder

Universiti Kebangsaan Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference95 articles.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Anomaly Detection in Industrial Networks using Distributed Observation of Statistical Behavior;2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT);2024-05-29

5. Deep Learning for IoT Security;Advances in Information Security, Privacy, and Ethics;2024-02-23