Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
Anomaly detection model based on gradient boosting and decision tree for IoT environments security
M Douiba, S Benkirane, A Guezzaz… - Journal of Reliable …, 2023 - Springer
Abstract Internet of Things (IoT) refers to the widespread use of distributed intelligent objects
equipped with various components such as captors, activators, and processors that interact …
equipped with various components such as captors, activators, and processors that interact …
An improved anomaly detection model for IoT security using decision tree and gradient boosting
M Douiba, S Benkirane, A Guezzaz… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) represents a massive deployment of connected, intelligent
devices that communicate directly in private, public, and professional environments without …
devices that communicate directly in private, public, and professional environments without …
A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …
collection, storage, processing, and communication. The adoption of the IoT has brought …
A Host‐Based Anomaly Detection Framework Using XGBoost and LSTM for IoT Devices
X Wang, X Lu - Wireless Communications and Mobile …, 2020 - Wiley Online Library
The Internet of Things (IoT) is rapidly spreading in various application scenarios through its
salient features in ubiquitous device connections, ranging from agriculture and industry to …
salient features in ubiquitous device connections, ranging from agriculture and industry to …
Deep learning in IoT intrusion detection
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …
and sensors from across the globe are interconnected in a global grid, and distributed …
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 …
A machine learning security framework for iot systems
Internet of Things security is attracting a growing attention from both academic and industry
communities. Indeed, IoT devices are prone to various security attacks varying from Denial …
communities. Indeed, IoT devices are prone to various security attacks varying from Denial …
Anomaly-based intrusion detection system for IoT networks through deep learning model
Abstract The Internet of Things (IoT) idea has been developed to enhance people's lives by
delivering a diverse range of smart interconnected devices and applications in several …
delivering a diverse range of smart interconnected devices and applications in several …
IoT intrusion detection taxonomy, reference architecture, and analyses
This paper surveys the deep learning (DL) approaches for intrusion-detection systems
(IDSs) in Internet of Things (IoT) and the associated datasets toward identifying gaps …
(IDSs) in Internet of Things (IoT) and the associated datasets toward identifying gaps …