[HTML][HTML] A multi-level random forest model-based intrusion detection using fuzzy inference system for internet of things networks
Intrusion detection (ID) methods are security frameworks designed to safeguard network
information systems. The strength of an intrusion detection method is dependent on the …
information systems. The strength of an intrusion detection method is dependent on the …
[HTML][HTML] A voting gray wolf optimizer-based ensemble learning models for intrusion detection in the Internet of Things
Abstract The Internet of Things (IoT) has garnered considerable attention from academic and
industrial circles as a pivotal technology in recent years. The escalation of security risks is …
industrial circles as a pivotal technology in recent years. The escalation of security risks is …
[HTML][HTML] An ensemble tree-based model for intrusion detection in industrial internet of things networks
With less human involvement, the Industrial Internet of Things (IIoT) connects billions of
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
Feature extraction and artificial intelligence-based intrusion detection model for a secure internet of things networks
JB Awotunde, S Misra - Illumination of artificial intelligence in cybersecurity …, 2022 - Springer
Security has been a concern in recent years, especially in the Internet of Things (IoT) system
environment, where security and privacy are of great importance. Our lives have significantly …
environment, where security and privacy are of great importance. Our lives have significantly …
[PDF][PDF] Ensemble learning approach for classification of network intrusion detection in IoT environment
PR Maidamwar, PP Lokulwar… - International Journal of …, 2023 - mecs-press.net
Over the last two years, the number of cyberattacks has grown significantly, paralleling the
emergence of new attack types as intruder's skill sets have improved. It is possible to attack …
emergence of new attack types as intruder's skill sets have improved. It is possible to attack …
[HTML][HTML] Intrusion detection system to advance internet of things infrastructure-based deep learning algorithms
H Alkahtani, THH Aldhyani - Complexity, 2021 - hindawi.com
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
Intrusion detection framework for the internet of things using a dense random neural network
The Internet of Things (IoT) devices, networks, and applications have become an integral
part of modern societies. Despite their social, economic, and industrial benefits, these …
part of modern societies. Despite their social, economic, and industrial benefits, these …
[HTML][HTML] Towards an effective deep learning-based intrusion detection system in the internet of things
Abstract Distributed Sensor Networks play a vital role in the day-to-day world of computing
applications, from the cloud to the Internet of Things (IoT). These computing applications …
applications, from the cloud to the Internet of Things (IoT). These computing applications …
[PDF][PDF] A security mechanism for detecting intrusions in internet of things using selected features based on mi-bgsa
M Sheikhan, H Bostani - International Journal of Information & …, 2017 - ijict.itrc.ac.ir
Internet of things (IoT) is a novel emerging approach in computer networks wherein all
heterogeneous objects around us, which usually are resource-constrained objects, can …
heterogeneous objects around us, which usually are resource-constrained objects, can …