Securing the internet of things via blockchain-aided smart contracts

SM Zanjani, H Shahinzadeh, J Moradi… - … on Information and …, 2022 - ieeexplore.ieee.org
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 …

[PDF][PDF] Traffic Classification of IoT Devices by Utilizing Spike Neural Network Learning Approach.

AR Zarzoor, NAS Al-Jamali… - … Modelling of Engineering …, 2023 - researchgate.net
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 …

DDoS intrusions detection in low power SD-IoT devices leveraging effective machine learning

J Ali, HH Song, V Sharma… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

An efficient deep learning mechanisms for IoT/Non-IoT devices classification and attack detection in SDN-enabled smart environment

P Malini, KR Kavitha - Computers & Security, 2024 - Elsevier
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 …

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 …

HSGAN-IoT: A hierarchical semi-supervised generative adversarial networks for IoT device classification

Y Jin, 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 …

GraphIoT: Lightweight IoT Device Detection based on Graph Classifiers and Incremental Learning

Y Yin, K Xie, S He, Y Li, J Wen, Z Diao… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
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 …

[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 …

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 …

Enhancing IoT Network Security Through Digital Object Architecture-Based Approaches

M Al-Bahri, W Alkishri, FYH Ahmed… - Qubahan Academic …, 2024 - journal.qubahan.com
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 …