Optimized machine learning enabled intrusion detection 2 system for internet of medical things

This research paper proposes an intrusion detection system that combines particle swarm optimization and AdaBoost algorithms to classify and detect malware-related records in innovative health app platforms. The research employs the NSL KDD dataset, consisting of 125,973 instances and 41 features, w...

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Bibliographic Details
Published in:	Franklin Open
Main Authors:	Zhenyang Sun, Gangyi An, Yixuan Yang, Yasong Liu
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Subjects:	Iomt security Machine learning intrusion detection IoMT cybersecurity solutions Medical Device Security IoMT data protection AdaBoost
Online Access:	http://www.sciencedirect.com/science/article/pii/S2773186323000506

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