[HTML][HTML] An ensemble deep learning based IDS for IoT using Lambda architecture
R Alghamdi, M Bellaiche - Cybersecurity, 2023 - Springer
Abstract The Internet of Things (IoT) has revolutionized our world today by providing greater
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …
Toward a lightweight intrusion detection system for the internet of things
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
[HTML][HTML] Intrusion detection models for IOT networks via deep learning approaches
B Madhu, MVG Chari, R Vankdothu, AK Silivery… - Measurement …, 2023 - Elsevier
Abstract The Internet of things (IoT) has gained more attention in recent years because of its
ubiquitous operations, connectivity, methods of communication, and intelligent decisions to …
ubiquitous operations, connectivity, methods of communication, and intelligent decisions to …
DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
Intrusion detection for IoT based on improved genetic algorithm and deep belief network
With the advent of the Internet of Things (IoT), the security of the network layer in the IoT is
getting more and more attention. The traditional intrusion detection technologies cannot be …
getting more and more attention. The traditional intrusion detection technologies cannot be …
An intrusion detection system against DDoS attacks in IoT networks
In this paper, we present an Intrusion Detection System (IDS) using the hybridization of the
deep learning technique and the multi-objective optimization method for the detection of …
deep learning technique and the multi-objective optimization method for the detection of …
Anomaly based network intrusion detection for IoT attacks using deep learning technique
Abstract Internet of Things (IoT) applications are growing in popularity for being widely used
in many real-world services. In an IoT ecosystem, many devices are connected with each …
in many real-world services. In an IoT ecosystem, many devices are connected with each …
Transfer learning approach to IDS on cloud IoT devices using optimized CNN
Data centralization can potentially increase Internet of Things (IoT) usage. The trend is to
move IoT devices to a centralized server with higher memory capacity and a more robust …
move IoT devices to a centralized server with higher memory capacity and a more robust …
[HTML][HTML] 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 …
[HTML][HTML] 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 …