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A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
The increasing number of medical devices in the Internet of Medical Things (IoMT)
environment has raised significant cybersecurity concerns. These devices often have weak …
environment has raised significant cybersecurity concerns. These devices often have weak …
Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing
This work introduces an intrusion detection system (IDS) tailored for industrial internet of
things (IIoT) environments based on an optimized convolutional neural network (CNN) …
things (IIoT) environments based on an optimized convolutional neural network (CNN) …
Dealing with class imbalance in uplift modeling-efficient data preprocessing via oversampling and matching
Uplift modeling is a widely recognized predictive approach used to identify individuals who
are more likely to respond positively to an intervention or treatment, such as a marketing …
are more likely to respond positively to an intervention or treatment, such as a marketing …
PPFCM-SMOTE: a novel balancing system for anomaly detection in IoT edge using probabilistic possibilistic fuzzy clustering and SMOTE
The immense growth of the Internet of Things (IoT) technology enables potential intruders
easy access to the IoT data. The Anomaly Detection System (ADS) detects abnormal …
easy access to the IoT data. The Anomaly Detection System (ADS) detects abnormal …
OUCH: Oversampling and Undersampling Cannot Help Improve Accuracy in Our Bayesian Classifiers That Predict Preeclampsia
Unbalanced data can have an impact on the machine learning (ML) algorithms that build
predictive models. This manuscript studies the influence of oversampling and …
predictive models. This manuscript studies the influence of oversampling and …
[PDF][PDF] A Novel Hybrid Architecture for Superior IoT Threat Detection through Real IoT Environments.
ABSTRACT As the Internet of Things (IoT) continues to expand, incorporating a vast array of
devices into a digital ecosystem also increases the risk of cyber threats, necessitating robust …
devices into a digital ecosystem also increases the risk of cyber threats, necessitating robust …
Cybersecurity of Digital Twins in Industrial IoT Environments
The integration of digital twins in Industrial Internet of Things (IIoT) environments has
brought significant developments in advanced industrial systems. The integration empowers …
brought significant developments in advanced industrial systems. The integration empowers …
Multiclass Imbalance Resampling Techniques for Network Intrusion Detection
Security datasets often exhibit significant imbalances that can introduce bias during model
training, diminish sensitivity to actual attacks, and lead to a substantial number of false …
training, diminish sensitivity to actual attacks, and lead to a substantial number of false …
A Resilient Cybersecurity Framework for IIoT Systems Using AE and RNN-Based Threat Detection
Security in the Industrial Internet of Things system is of utmost importance because such
systems are being integrated more and more into very important industries like …
systems are being integrated more and more into very important industries like …
Detecção de Intrusão e Análise Cyberfísica em Redes Industriais
Este trabalho investiga a cibersegurança em Sistemas de Controle Industrial (ICS) diante de
riscos cibernéticos emergentes. Desenvolvemos um sistema de detecção de anomalias …
riscos cibernéticos emergentes. Desenvolvemos um sistema de detecção de anomalias …