A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information-Reference-Cited by-同舟云学术

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A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information

Published:2023-05-15 Issue:10 Volume:10 Page:8395-8407
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Fouda Marwa¹^ORCID,Ksantini Riadh²^ORCID,Elmedany Wael³^ORCID

Affiliation:

1. Ministry of Education, Isa Town, Bahrain

2. Department of Computer Science, College of Information Technology, University of Bahrain, Sakhir, Bahrain

3. Department of Computer Engineering, College of Information Technology, University of Bahrain, Sakhir, Bahrain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10119650/09993742.pdf?arnumber=9993742

Cited by 7 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

1. Meta-IDS: Meta-Learning-Based Smart Intrusion Detection System for Internet of Medical Things (IoMT) Network;IEEE Internet of Things Journal;2024-07-01

2. Navigating the Cyber Threat Landscape: An In-Depth Analysis of Attack Detection within IoT Ecosystems;AI;2024-05-15

3. Efficacious Novel Intrusion Detection System for Cloud Computing Environment;IEEE Access;2024

4. Prediction of middle box-based attacks in Internet of Healthcare Things using ranking subsets and convolutional neural network;Wireless Networks;2023-12-15

5. Towards an Intelligent Intrusion Detection System to Detect Malicious Activities in Cloud Computing;Applied Sciences;2023-08-24

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