Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology
Abstract Internet of Things (IoT) is one of the most rapidly used technologies in the last
decade in various applications. The smart things are connected in wireless or wired for …
decade in various applications. The smart things are connected in wireless or wired for …
[HTML][HTML] Intelligent authentication of 5G healthcare devices: A survey
The dynamic nature of wireless links and the mobility of devices connected to the Internet of
Things (IoT) over fifth-generation (5G) networks (IoT-5G), on the one hand, empowers …
Things (IoT) over fifth-generation (5G) networks (IoT-5G), on the one hand, empowers …
Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …
Machine learning and the Internet of Things security: Solutions and open challenges
Abstract Internet of Things (IoT) is a pervasively-used technology for the last few years. IoT
technologies are also responsible for intensifying various everyday smart applications …
technologies are also responsible for intensifying various everyday smart applications …
Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …
from potential adversarial attacks. However, it is challenging to design a suitable security …
Adaptive decomposition and extraction network of individual fingerprint features for specific emitter identification
J Zhang, Y Liu, G Ding, B Tang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid development of emitter individual identification technology in cognitive radio
networks, electromagnetic emitter individual target identification based on deep learning has …
networks, electromagnetic emitter individual target identification based on deep learning has …
Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review
Abstract Internet of Things (IoT) driven systems have been sharply growing in the recent
times but this evolution is hampered by cybersecurity threats like spoofing, denial of service …
times but this evolution is hampered by cybersecurity threats like spoofing, denial of service …
Dilated causal convolutional model for RF fingerprinting
J Robinson, S Kuzdeba, J Stankowicz… - 2020 10th Annual …, 2020 - ieeexplore.ieee.org
We design a network to classify individual wireless devices based on their radio frequency
(RF) fingerprints imparted on transmitted signals. The network combines a stack of dilated …
(RF) fingerprints imparted on transmitted signals. The network combines a stack of dilated …
Specific emitter identification based on complex Fourier neural network
X Zha, H Chen, T Li, Z Qiu… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a well-established approach to providing precise target
information for civilian and military applications. For most deep learning (DL) based SEI …
information for civilian and military applications. For most deep learning (DL) based SEI …
Multiuser MIMO concept for physical layer security in multibeam satellite systems
MG Schraml, RT Schwarz… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In satellite communication downlinks, physical layer security is challenging to achieve due to
their broadcasting nature and Line-of-Sight channel characteristics. This paper provides a …
their broadcasting nature and Line-of-Sight channel characteristics. This paper provides a …