Работы, цитирующие эту работу

Работ: 3

Работа: Meta-IDS: Meta-Learning-Based Smart Intrusion Detection System for Internet of Medical Things (IoMT) Network

1. RCLNet: an effective anomaly-based intrusion detection for securing the IoMT system

   Jamshed Ali Shaikh, Chengliang Wang, Wajeeh Us Sima Muhammad +5

   СтатьяAnomaly Detection Techniques and ApplicationsFrontiers in Digital Health2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.066467

2. A deep Reinforcement learning-based robust Intrusion Detection System for securing IoMT Healthcare Networks

   Jamshed Ali Shaikh, Chengliang Wang, Muhammad Wajeeh Us Sima +5

   СтатьяNetwork Security and Intrusion DetectionFrontiers in Medicine2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000016

3. Drift-Aware Online Ensemble Learning for Real-Time Cybersecurity in Internet of Medical Things Networks

   Fazliddin Makhmudov, Gayrat Juraev, O.R. Yusupov +2

   СтатьяNetwork Security and Intrusion DetectionMachine Learning and Knowledge Extraction2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.006667