Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection
JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …
and services to physical systems. The IIoT has been used to generate large quantities of …
Deep learning feature fusion approach for an intrusion detection system in SDN-based IoT networks
V Ravi, R Chaganti, M Alazab - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
A survey of the literature shows that the number of IoT attacks are gradually growing over the
years due to the growing trend of Internet-enabled devices. Software defined networking …
years due to the growing trend of Internet-enabled devices. Software defined networking …
Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system
Developing cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …
academy and industry organizations worldwide. It is also very necessary to provide …
Intrusion detection framework for IoT-based smart environments security
Since of huge progress of Internet of things (IoT) and networking technologies, and the
expanding number of devices linked to the Internet, security and privacy problems must be …
expanding number of devices linked to the Internet, security and privacy problems must be …
Review of artificial intelligence for enhancing intrusion detection in the internet of things
Internet of Things is shaping the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
Feature engineering and deep learning-based intrusion detection framework for securing edge IoT
Devices belonging to the realm of edge Internet of Things (IoT) are becoming highly
susceptible to intrusion attacks. The large-scale development in edge IoT, ease of …
susceptible to intrusion attacks. The large-scale development in edge IoT, ease of …
Voting classifier-based intrusion detection for iot networks
Abstract Internet of Things (IoT) is transforming human lives by paving the way for the
management of physical devices on the edge. These interconnected IoT objects share data …
management of physical devices on the edge. These interconnected IoT objects share data …
WOGRU-IDS—An intelligent intrusion detection system for IoT assisted Wireless Sensor Networks
One of the key mechanisms of the current electronic and wireless frameworks is the
assistance of Wireless Sensor Networks (WSN) in Internet of Things (IoT) networks. A WSN …
assistance of Wireless Sensor Networks (WSN) in Internet of Things (IoT) networks. A WSN …
BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …
[PDF][PDF] A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security.
Due to the development of cloud computing and Internet of Things (IoT) environments, such
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …