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[HTML][HTML] Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
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
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 …
Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends
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 …
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
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 …
A comprehensive review of machine learning approaches for anomaly detection in smart homes: experimental analysis and future directions
Detecting anomalies in human activities is increasingly crucial today, particularly in nuclear
family settings, where there may not be constant monitoring of individuals' health, especially …
family settings, where there may not be constant monitoring of individuals' health, especially …
[PDF][PDF] Comprehensive survey on AI-based technologies for enhancing IoT privacy and security: Trends, challenges, and solutions
Abstract The Internet of Things (IoT) is revolutionizing modern technology by connecting
numerous devices and applications. However, its lack of standardization has led to security …
numerous devices and applications. However, its lack of standardization has led to security …