A novel federated edge learning approach for detecting cyberattacks in IoT infrastructures
S Abbas, A Al Hejaili, GA Sampedro, M Abisado… - IEEE …, 2023 - ieeexplore.ieee.org
The advancement of the communications system has resulted in the rise of the Internet of
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …
[HTML][HTML] Federated IoT attack detection using decentralized edge data
Abstract Internet of Things (IoT) devices are mass-produced and designed for different
applications, ranging from monitoring of the environment to on-demand electrical switches …
applications, ranging from monitoring of the environment to on-demand electrical switches …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
Edge-IIoTset: A new comprehensive realistic cyber security dataset of IoT and IIoT applications for centralized and federated learning
In this paper, we propose a new comprehensive realistic cyber security dataset of IoT and
IIoT applications, called Edge-IIoTset, which can be used by machine learning-based …
IIoT applications, called Edge-IIoTset, which can be used by machine learning-based …
An ensemble multi-view federated learning intrusion detection for IoT
The rise in popularity of Internet of Things (IoT) devices has attracted hackers to develop IoT-
specific attacks. The microservice architecture of IoT devices relies on the Internet to provide …
specific attacks. The microservice architecture of IoT devices relies on the Internet to provide …
Cyber attack detection in IoT using deep learning techniques
K Tomar, K Bisht, K Joshi… - 2023 6th International …, 2023 - ieeexplore.ieee.org
The Internet of things (IoT) consists of millions of digital devices which interact with each
other through minimum user interaction. IoT is one of the most rapidly expanding computing …
other through minimum user interaction. IoT is one of the most rapidly expanding computing …
Using machine learning for detection and classification of cyber attacks in edge iot
Internet of Things (IoT) devices are omnipresent due to their ease of use and level of
connectivity. Because of wide deployment, IoT network traffic security is a large issue …
connectivity. Because of wide deployment, IoT network traffic security is a large issue …
Unsupervised ensemble based deep learning approach for attack detection in IoT network
M Shahnawaz Ahmad… - … : Practice and Experience, 2022 - Wiley Online Library
Summary The Internet of Things (IoT) has altered living by controlling devices/things over
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …
Federated learning-inspired technique for attack classification in IoT networks
More than 10-billion physical items are being linked to the internet to conduct activities more
independently and with less human involvement owing to the Internet of Things (IoT) …
independently and with less human involvement owing to the Internet of Things (IoT) …
HybridRobustNet: enhancing detection of hybrid attacks in IoT networks through advanced learning approach
The proliferation of Internet of Things (IoT) devices has revolutionized various domains, but it
has also brought forth numerous security challenges. One of the most concerning threats is …
has also brought forth numerous security challenges. One of the most concerning threats is …