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

• Hauptverfasser: Jamshed Ali Shaikh (VerfasserIn), Chengliang Wang (VerfasserIn), Wajeeh Us Sima Muhammad (VerfasserIn), Muhammad Arshad (VerfasserIn), Muhammad Owais (VerfasserIn), Rana Othman Alnashwan (VerfasserIn), Samia Allaoua Chelloug (VerfasserIn), Mohammed Saleh Ali Muthanna (VerfasserIn)
• Format: Buch
• Veröffentlicht: Frontiers Media S.A., 2024-10-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

The Internet of Medical Things (IoMT) has revolutionized healthcare with remote patient monitoring and real-time diagnosis, but securing patient data remains a critical challenge due to sophisticated cyber threats and the sensitivity of medical information. Traditional machine learning methods strug...