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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發表在:	Franklin Open
Main Authors:	Zhenyang Sun, Gangyi An, Yixuan Yang, Yasong Liu
格式:	Article
語言:	英语
出版:	Elsevier 2024-03-01
主題:	Iomt security Machine learning intrusion detection IoMT cybersecurity solutions Medical Device Security IoMT data protection AdaBoost
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S2773186323000506