Effective combining of feature selection techniques for machine learning-enabled IoT intrusion detection
The rapid advancement of technologies has enabled businesses to carryout their activities
seamlessly and revolutionised communications across the globe. There is a significant …
seamlessly and revolutionised communications across the globe. There is a significant …
IoT intrusion detection using machine learning with a novel high performing feature selection method
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
A New High-Performance Feature Selection Method for Machine Learning-Based IOT Intrusion Detection
B Natarajan, S Bose, N Maheswaran… - 2023 12th …, 2023 - ieeexplore.ieee.org
In recent years, there is a significant growth experienced in both data traffic as well as
dimensionality in Internet of Things (IoT) environment. In parallel, IoT networks are often …
dimensionality in Internet of Things (IoT) environment. In parallel, IoT networks are often …
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning
Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …
that can cause security issues. To protect against this, machine learning approaches have …
A novel deep learning-based intrusion detection system for IOT networks
A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
[PDF][PDF] IoT network attack detection using supervised machine learning
The use of supervised learning algorithms to detect malicious traffic can be valuable in
designing intrusion detection systems and ascertaining security risks. The Internet of things …
designing intrusion detection systems and ascertaining security risks. The Internet of things …
[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 …
[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT
M Vishwakarma, N Kesswani - Decision Analytics Journal, 2022 - Elsevier
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …
years. The instantaneous development in deploying constrained devices in numerous areas …
Towards a deep learning-driven intrusion detection approach for Internet of Things
Abstract Internet of Things (IoT) as a paradigm comes with a range of benefits to humanity.
Domains of research for the IoT range from healthcare automation to energy and transport …
Domains of research for the IoT range from healthcare automation to energy and transport …
A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …