An RFE/Ridge-ML/DL based anomaly intrusion detection approach for securing IoMT system-Reference-Cited by-同舟云学术

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An RFE/Ridge-ML/DL based anomaly intrusion detection approach for securing IoMT system

Published:2024-09 Issue: Volume:23 Page:102659
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Lazrek Ghita^ORCID,Chetioui Kaouthar,Balboul Younes,Mazer Said,El bekkali Moulhime

Publisher

Elsevier BV

Reference66 articles.

1. Physical unclonable function and machine learning based group authentication and data masking for In-Hospital segments;Sadhu;Electronics,2022

2. TwI-FTM: two-way IoT-FoG trust management scheme for task offloading in IoT-FoG networks;B;Results in Engineering,2024

3. Efficient cyber attack detection on the internet of medical Things-Smart environment based on deep recurrent neural network and machine learning algorithms;Saheed;IEEE Access,2021

4. A framework for application-centric Internet of Things authentication;Shingari;Results in Engineering,2024

5. A particle swarm optimization and deep learning approach for intrusion detection system in internet of medical things;Chaganti;Sustainability,2022

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