Explainable AI for zero-day attack detection in IoT networks using attention fusion model

Explainable AI for zero-day attack detection in IoT networks using attention fusion model

Abstract The proposed research addresses the challenge of detecting malicious network traffic in IoT environments, focusing on enhancing detection accuracy while ensuring interpretability. The proposed attention fusion classification model utilizes both long-term and short-term attention mechanisms...

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Bibliographic Details
Main Authors: Deepa Krishnan, Swapnil Singh, Vijayan Sugumaran
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Internet of Things
Subjects:
Security attack
Explainable AI
Detection
Zero day
IoT
Online Access:https://doi.org/10.1007/s43926-025-00184-8
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https://doi.org/10.1007/s43926-025-00184-8

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