Detecting IoT attacks using an ensemble machine learning model

V Tomer, S Sharma - Future Internet, 2022 - mdpi.com
Malicious attacks are becoming more prevalent due to the growing use of Internet of Things
(IoT) devices in homes, offices, transportation, healthcare, and other locations. By …

A two-layer fog-cloud intrusion detection model for IoT networks

S Roy, J Li, Y Bai - Internet of Things, 2022 - Elsevier
Abstract The Internet of Things (IoT) and its applications are becoming ubiquitous in our life.
However, the open deployment environment and the limited resources of IoT devices make …

Attack detection in IoT using machine learning

M Anwer, SM Khan, MU Farooq - Engineering, Technology & Applied …, 2021 - etasr.com
Many researchers have examined the risks imposed by the Internet of Things (IoT) devices
on big companies and smart towns. Due to the high adoption of IoT, their character, inherent …

Semi-supervised learning based distributed attack detection framework for IoT

S Rathore, JH Park - Applied Soft Computing, 2018 - Elsevier
Alongside the development of Internet of Things (IoT), security attacks are also increasing
day by day. A number of centralized attack detection mechanisms have been proposed to …

Fog-based attack detection framework for internet of things using deep learning

A Samy, H Yu, H Zhang - Ieee Access, 2020 - ieeexplore.ieee.org
The number of cyber-attacks and data breaches has immensely increased across different
enterprises, companies, and industries as a result of the exploitation of the weaknesses in …

Fog computing-based intrusion detection architecture to protect iot networks

Y Labiod, A Amara Korba, N Ghoualmi - Wireless Personal …, 2022 - Springer
With the deployment of billions of Internet of Things (IoT) devices, more and more cyber
attacks involving or even targeting such devices are rife. Cyberattack vectors are in constant …

BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning

OD Okey, SS Maidin, P Adasme, R Lopes Rosa… - Sensors, 2022 - mdpi.com
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …

Fog-cloud based intrusion detection system using Recurrent Neural Networks and feature selection for IoT networks

NF Syed, M Ge, Z Baig - Computer Networks, 2023 - Elsevier
Deep learning (DL) techniques are being widely researched for their effectiveness in
detecting cyber intrusions against the Internet of Things (IoT). Time sensitive Critical …

[PDF][PDF] A Hybrid Deep Learning Intrusion Detection Model for Fog Computing Environment.

K Kalaivani, M Chinnadurai - Intelligent Automation & Soft …, 2021 - cdn.techscience.cn
Fog computing extends the concept of cloud computing by providing the services of
computing, storage, and networking connectivity at the edge between data centers in cloud …

Intrusion detection based on bidirectional long short-term memory with attention mechanism

Y Yang, S Tu, RH Ali, H Alasmary, M Waqas… - 2023 - ro.ecu.edu.au
With the recent developments in the Internet of Things (IoT), the amount of data collected
has expanded tremendously, resulting in a higher demand for data storage, computational …