[HTML][HTML] Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
F Alwahedi, A Aldhaheri, MA Ferrag, A Battah… - Internet of Things and …, 2024 - Elsevier
Despite providing unparalleled connectivity and convenience, the exponential growth of the
Internet of Things (IoT) ecosystem has triggered significant cybersecurity concerns. These …
Internet of Things (IoT) ecosystem has triggered significant cybersecurity concerns. These …
[HTML][HTML] FedSDM: Federated learning based smart decision making module for ECG data in IoT integrated Edge–Fog–Cloud computing environments
Massive data collection in modern systems has paved the way for data-driven machine
learning, a promising technique for creating reliable and robust statistical models. By …
learning, a promising technique for creating reliable and robust statistical models. By …
[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …
security of interconnected devices and networks. This necessitates the use of efficient …
A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks
This study explores the growing challenges of cybersecurity in the context of rapidly adopted
Internet of Things (IoT) technologies, which have become increasingly susceptible to cyber …
Internet of Things (IoT) technologies, which have become increasingly susceptible to cyber …
Deep learning enabled intrusion detection system for Industrial IOT environment
H Nandanwar, R Katarya - Expert Systems with Applications, 2024 - Elsevier
The prevalence of security vulnerabilities in Internet of Things (IoT) applications poses a
serious threat to enterprise systems, necessitating sophisticated and reliable defense …
serious threat to enterprise systems, necessitating sophisticated and reliable defense …
[HTML][HTML] Improved bacterial foraging optimization with deep learning based anomaly detection in smart cities
MM Khayyat - Alexandria Engineering Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) contains many smart devices that collect, store,
communicate, and process data. IoT implementation has performed novel opportunities in …
communicate, and process data. IoT implementation has performed novel opportunities in …
Hybrid Deep Learning Techniques for Securing Bioluminescent Interfaces in Internet of Bio Nano Things
The Internet of bio-nano things (IoBNT) is an emerging paradigm employing nanoscale (~ 1–
100 nm) biological transceivers to collect in vivo signaling information from the human body …
100 nm) biological transceivers to collect in vivo signaling information from the human body …
An explainable multi-modal model for advanced cyber-attack detection in industrial control systems
Abstract The convergence of Industrial Control Systems (ICS) and intelligent Internet of
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …
Securing the digital supply chain cyber threats and vulnerabilities
SR Sindiramutty, NZ Jhanjhi, CE Tan… - … Measures for Logistics …, 2024 - igi-global.com
The digital supply chain has become an integral part of modern business operations,
enabling efficient and streamlined processes. However, with the rapid advancement of …
enabling efficient and streamlined processes. However, with the rapid advancement of …
Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends
SH Rafique, A Abdallah, NS Musa, T Murugan - Sensors, 2024 - mdpi.com
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels
of connectivity and data. Anomaly detection is a security feature that identifies instances in …
of connectivity and data. Anomaly detection is a security feature that identifies instances in …