Multi-Class Intrusion Detection System in Internet of Medical Things Based on Hybrid Deep Learning Techniques

The IoMT improves healthcare through smart medical devices, enabling real-time monitoring and data transmission. However, increased connectivity exposes IoMT systems to cyber threats, jeopardizing patient data confidentiality, system integrity, and availability. Traditional IDS struggle to detect so...

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Главные авторы:	Aisha Essa Mohammad, Amer Abdulmajeed Abdulrahman
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Anhalt University of Applied Sciences 2025-08-01
Серии:	Proceedings of the International Conference on Applied Innovations in IT
Предметы:	internet of medical things (iomt) intrusion detection system (ids) deep learning (dl) deep neural network (dnn) long short-term memory (lstm)
Online-ссылка:	https://icaiit.org/paper.php?paper=13th_ICAIIT_4/1_7
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