Securing the internet of things via blockchain-aided smart contracts
The Internet of Things (IoT) paradigm is a relatively novel concept that is rapidly and steadily
growing in modern wireless communication models. In IoT, many of the objects in the …
growing in modern wireless communication models. In IoT, many of the objects in the …
[PDF][PDF] Traffic Classification of IoT Devices by Utilizing Spike Neural Network Learning Approach.
Accepted: 13 March 2023 Whenever, the Internet of Things (IoT) applications and devices
increased, the capability of the its access frequently stressed. That can lead a significant …
increased, the capability of the its access frequently stressed. That can lead a significant …
GraphIoT: Lightweight IoT device detection based on graph classifiers and incremental learning
The rapid expansion of the Internet of Things (IoT) has led to growing concerns about the
security of IoT devices. A crucial aspect of ensuring their security is IoT device identification …
security of IoT devices. A crucial aspect of ensuring their security is IoT device identification …
DDoS intrusions detection in low power SD-IoT devices leveraging effective machine learning
Security and privacy are significant concerns in software-defined networking (SDN)-applied
Internet of Things (IoT) environments, due to the proliferation of connected devices and the …
Internet of Things (IoT) environments, due to the proliferation of connected devices and the …
An efficient deep learning mechanisms for IoT/Non-IoT devices classification and attack detection in SDN-enabled smart environment
In recent years, the development of Internet of Things (IoT) applications has increased,
resulting in higher demands for sufficient bandwidth, data rates, latency, and quality of …
resulting in higher demands for sufficient bandwidth, data rates, latency, and quality of …
A method of classifying IoT devices based on attack sensitivity
H Wang, D Guo, J Wei, J Li - Journal of Information Security and …, 2024 - Elsevier
The emergence of IoT has introduced new security concerns, particularly the detection of
large-scale network attacks initiated by compromised IoT devices. The diverse nature of IoT …
large-scale network attacks initiated by compromised IoT devices. The diverse nature of IoT …
HSGAN-IoT: A hierarchical semi-supervised generative adversarial networks for IoT device classification
Y **, J Zhou, Y Gao - Computer Networks, 2024 - Elsevier
In recent years, IoT device classification has become a highly focused issue, because it can
achieve network performance optimization, security threat detection, application scenario …
achieve network performance optimization, security threat detection, application scenario …
[HTML][HTML] Advanced Deep Learning Approach for Smart Home Appliance Identification Using Recurrent Neural Networks with LSTM
SA Bkheet, JI Agbinya, GSM Khamis - IoT, 2024 - mdpi.com
In the Internet of Things (IoT) domain, vast numbers of smart devices are interconnected,
generating large volumes of data requiring advanced management mechanisms. One major …
generating large volumes of data requiring advanced management mechanisms. One major …
Identify devices and events from non-IP heterogeneous IoT network traffic
Y Chen, J Lai, Z Lin, M Zhang, W Liu - PeerJ Computer Science, 2024 - peerj.com
In recent years, notable advancements have been achieved in the realm of identifying IP-
based Internet of Things (IoT) devices and events. Nevertheless, the majority of methods rely …
based Internet of Things (IoT) devices and events. Nevertheless, the majority of methods rely …
Enhancing IoT Network Security Through Digital Object Architecture-Based Approaches
Abstract The Internet of Things (IoT) encompasses a network of different devices, both
stationary and mobile, that may interact with the physical world. Ensuring the security of the …
stationary and mobile, that may interact with the physical world. Ensuring the security of the …