A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …
one another with minimal human intervention. IoT is one of the fastest developing fields in …
Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect
Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …
enhance the way generation, transmission, and distribution networks interrelate. It involves …
IoT security: Review, blockchain solutions, and open challenges
MA Khan, K Salah - Future generation computer systems, 2018 - Elsevier
With the advent of smart homes, smart cities, and smart everything, the Internet of Things
(IoT) has emerged as an area of incredible impact, potential, and growth, with Cisco Inc …
(IoT) has emerged as an area of incredible impact, potential, and growth, with Cisco Inc …
Spectrum sensing for cognitive radio: Recent advances and future challenge
Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …
Hybrid SDN networks: A survey of existing approaches
Software defined networking (SDN) decouples the control plane from the data plane of
forwarding devices. This separation provides several benefits, including the simplification of …
forwarding devices. This separation provides several benefits, including the simplification of …
How machine learning changes the nature of cyberattacks on IoT networks: A survey
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …
life in recent years. However, this development does not only present advantages. Indeed …
Reinforcement learning for iot security: A comprehensive survey
The number of connected smart devices has been increasing exponentially for different
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …
An amateur drone surveillance system based on the cognitive Internet of Things
Drones, also known as mini-unmanned aerial vehicles, have attracted increasing attention
due to their boundless applications in communications, photography, agriculture …
due to their boundless applications in communications, photography, agriculture …
An improved deep reinforcement learning routing technique for collision-free VANET
P Upadhyay, V Marriboina, SJ Goyal, S Kumar… - Scientific Reports, 2023 - nature.com
Abstract Vehicular Adhoc Networks (VANETs) is an emerging field that employs a wireless
local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc …
local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc …
End-to-end learning from spectrum data: A deep learning approach for wireless signal identification in spectrum monitoring applications
This paper presents end-to-end learning from spectrum data-an umbrella term for new
sophisticated wireless signal identification approaches in spectrum monitoring applications …
sophisticated wireless signal identification approaches in spectrum monitoring applications …