Towards a secure and sustainable internet of medical things (iomt): Requirements, design challenges, security techniques, and future trends
Recent advances in machine-to-machine (M2M) communications, mini-hardware
manufacturing, and micro computing have led to the development of the Internet of Things …
manufacturing, and micro computing have led to the development of the Internet of Things …
Federated-learning-based anomaly detection for IoT security attacks
V Mothukuri, P Khare, RM Parizi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is made up of billions of physical devices connected to the
Internet via networks that perform tasks independently with less human intervention. Such …
Internet via networks that perform tasks independently with less human intervention. Such …
[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review
JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …
the internet, enable remote monitoring, automation, and control. However, collecting …
[PDF][PDF] Towards Machine Learning Based Intrusion Detection in IoT Networks.
The Internet of Things (IoT) integrates billions of self-organized and heterogeneous smart
nodes that communicate with each other without human intervention. In recent years, IoT …
nodes that communicate with each other without human intervention. In recent years, IoT …
Smart strawberry farming using edge computing and IoT
Strawberries are sensitive fruits that are afflicted by various pests and diseases. Therefore,
there is an intense use of agrochemicals and pesticides during production. Due to their …
there is an intense use of agrochemicals and pesticides during production. Due to their …
Anomaly-based intrusion detection approach for IoT networks using machine learning
P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …
cities or smart home facilitate communication between various objects. Nevertheless, this …
A deep learning framework for target localization in error-prone environment
The use of Internet of Things (IoT) in environment monitoring has led to the development of
Smart Environmental Monitoring (SEM) paradigm. Target or source localization, that …
Smart Environmental Monitoring (SEM) paradigm. Target or source localization, that …
Lightweight internet of things botnet detection using one-class classification
Like smart phones, the recent years have seen an increased usage of internet of things (IoT)
technology. IoT devices, being resource constrained due to smaller size, are vulnerable to …
technology. IoT devices, being resource constrained due to smaller size, are vulnerable to …
A survey of using machine learning in IoT security and the challenges faced by researchers
KM Harahsheh, CH Chen - Informatica, 2023 - digitalcommons.odu.edu
Abstract The Internet of Things (IoT) has become more popular in the last 15 years as it has
significantly improved and gained control in multiple fields. We are nowadays surrounded by …
significantly improved and gained control in multiple fields. We are nowadays surrounded by …
An abnormal traffic detection method for IoT devices based on federated learning and depthwise separable convolutional neural networks
Q Xia, S Dong, T Peng - 2022 IEEE International Performance …, 2022 - ieeexplore.ieee.org
As a bridge for information interaction between people and things, and things and things, IoT
devices bring security issues and data privacy protection issues that have always been the …
devices bring security issues and data privacy protection issues that have always been the …