Anomaly detection in IoT-based healthcare: machine learning for enhanced security
MM Khan, M Alkhathami - Scientific Reports, 2024 - nature.com
Abstract Internet of Things (IoT) integration in healthcare improves patient care while also
making healthcare delivery systems more effective and economical. To fully realize the …
making healthcare delivery systems more effective and economical. To fully realize the …
IoT-Based Intrusion Detection System Using New Hybrid Deep Learning Algorithm
S Yaras, M Dener - Electronics, 2024 - mdpi.com
The most significant threat that networks established in IoT may encounter is cyber attacks.
The most commonly encountered attacks among these threats are DDoS attacks. After …
The most commonly encountered attacks among these threats are DDoS attacks. After …
Optimized common features selection and deep-autoencoder (OCFSDA) for lightweight intrusion detection in Internet of things
U Otokwala, A Petrovski, H Kalutarage - International Journal of …, 2024 - Springer
Embedded systems, including the Internet of things (IoT), play a crucial role in the
functioning of critical infrastructure. However, these devices face significant challenges such …
functioning of critical infrastructure. However, these devices face significant challenges such …
Optimizing Smart Home Intrusion Detection with Harmony-Enhanced Extra Trees
A Abdusalomov, D Kilichev, R Nasimov… - IEEE …, 2024 - ieeexplore.ieee.org
In this study, we present an innovative network intrusion detection system (IDS) tailored for
Internet of Things (IoT)-based smart home environments, offering a novel deployment …
Internet of Things (IoT)-based smart home environments, offering a novel deployment …
[HTML][HTML] Two-Step Data Clustering for Improved Intrusion Detection System Using CICIoT2023 Dataset
HQ Gheni, WL Al-Yaseen - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
The issue of network security is an important and delicate issue when it comes to the privacy
of organizations and individuals, especially when important and sensitive information is …
of organizations and individuals, especially when important and sensitive information is …
Enhancing Cyberattack Detection Using Dimensionality Reduction with Hybrid Deep Learning on Internet of Things Environment
S Duraibi, AM Alashjaee - IEEE Access, 2024 - ieeexplore.ieee.org
Cybersecurity in the Internet of Things (IoT) ecosystem is vital to protect sensitive data, stop
unauthorized access, and mitigate the risk of disruptive cyberattacks. Mitigating risks in IoT …
unauthorized access, and mitigate the risk of disruptive cyberattacks. Mitigating risks in IoT …
Performance Evaluation of Deep Learning Models for Classifying Cybersecurity Attacks in IoT Networks
FL Becerra-Suarez, VA Tuesta-Monteza… - Informatics, 2024 - mdpi.com
The Internet of Things (IoT) presents great potential in various fields such as home
automation, healthcare, and industry, among others, but its infrastructure, the use of open …
automation, healthcare, and industry, among others, but its infrastructure, the use of open …
HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks
The rapid expansion of Internet-of-Things (IoT) devices has revolutionized connectivity,
facilitating the exchange of extensive data within IoT networks via the traditional internet …
facilitating the exchange of extensive data within IoT networks via the traditional internet …
Securing the evolving IoT with deep learning: a comprehensive review
This paper explores how deep learning enhances Internet of Things (IoT) cybersecurity,
examining advanced methods like convolutional and recurrent neural networks for detailed …
examining advanced methods like convolutional and recurrent neural networks for detailed …
Enhancing Intrusion Detection with Advanced Feature Extraction Through Machine Learning and Deep Learning Methods
K Janaki, DVR Kumar, A Sravani… - … on Intelligent Systems …, 2024 - ieeexplore.ieee.org
In this paper, the effectiveness of various ML and DL algorithms was investigated on the
BotNeTloT-L01 dataset obtained from Kaggle., a comprehensive collection of IoT device …
BotNeTloT-L01 dataset obtained from Kaggle., a comprehensive collection of IoT device …