KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection

KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection

Abstract The rapid expansion of Internet of Things (IoT) networks necessitates efficient intrusion detection systems (IDS) capable of operating within the stringent resource constraints of IoT devices. This study introduces KronNet, a lightweight feed-forward neural network enhanced with Kronecker p...

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Bibliographic Details
Main Authors: Saeed Ullah, Junsheng Wu, Mian Muhammad Kamal, Abdul Khader Jilani Saudagar
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
IoT intrusion detection
Kronecker product
Gaussian mixture model (GMM)
Lightweight deep learning
Resource-constrained environment
Edge deployment
Online Access:https://doi.org/10.1038/s41598-025-08921-3
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https://doi.org/10.1038/s41598-025-08921-3

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