Jul 2026· Wireless personal communications· Vol 146, pp. 5433 - 5457· 0 citations· 39 references
TL;DR
This work proposes a novel multiclass intrusion detection system using FL at the subnetwork level using various machine learning models, including Artificial Neural Networks, Convolutional Neural Networks, and Long Short-Term Memory to build an effective IoT IDS.
A lightweight, explainable IDS that combines a 1D-CNN for spatial feature analysis with SHAP for model interpretation, yielding streamlined models that preserve over 93% F1-score and reduce computational overhead by more than 38%, facilitating millisecond-level inference on edge hardware.
Miracle Udurume, Vladimir V. Shakhov, Insoo Koo· Scientific Reports· 0 citations
The results show a success in implementing a real time, scalable, privacy-preserving, and adaptive IDS in large-scale IoT deployments through intelligent workload distribution between edge and cloud layers.
Chidera Winifred John, Eduediuyai Ekerete Dan, P. Asuquo et al.· E3S Web of Conferences· 0 citations
The Internet of Things (IoT) has become increasingly integrated into our daily lives, offering a wide range of services through the proliferation of connected devices. While this connectivity enhances convenience and functionality, it also introduces significant security challenges, exposing IoT systems to various form...
A novel intelligent IDS system using the Feature Selection technique inspired by Bowerbird Courtship and Long Short-Term Memory Autoencoder and Long Short-Term Memory Autoencoder using Seagull Optimizer is introduced to build an effective and scalable IDS that can perform efficient feature selection, learn deep tempora...
Nancy Thomas, R. Gunasundari· international journal of eng...· 0 citations
Rapid growth in the Internet of Things (IoT) networks means that almost limitless connectivity of intelligent devices and advanced technologies in the domains of healthcare, transport, industrial processes, and smart city automation are possible. However, the mass rollout of IoT devices with limited resources has expos...
K. Nandana, R. Akarapu· 2026 6th International Confe...· 0 citations
The rapid growth of the Internet of Things (IoT) in critical domains such as healthcare, smart cities, cybersecurity, and finance has led to the generation of large volumes of distributed data and increased susceptibility to cyberattacks. Although federated learning (FL)-based intrusion detection systems (IDS) have bee...
Md. Morshedul Islam, Hossain Shahriar, Alfredo Cuzzocrea et al.· Annual International Compute...· 0 citations
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