An explainable AI-driven transformer model for spoofing attack detection in Internet of Medical Things (IoMT) networks

An explainable AI-driven transformer model for spoofing attack detection in Internet of Medical Things (IoMT) networks

Abstract The increasing sophistication of cyber threats necessitates the development of advanced security mechanisms to protect modern networks. Among these threats, spoofing attacks pose a significant risk by enabling malicious actors to impersonate legitimate entities. To address this challenge, w...

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Bibliographic Details
Main Authors: Mohammad A. Alsharaiah, Mohammed Amin Almaiah, Rami Shehab, Mansour Obeidat, Fuad Ali El-Qirem, Theyazn Aldhyani
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Applied Sciences
Subjects:
Explainable AI
Transformer model
Spoofing
Classification
Attack
Online Access:https://doi.org/10.1007/s42452-025-07071-5
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https://doi.org/10.1007/s42452-025-07071-5

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