Reinforcement learning for iot security: A comprehensive survey

A Uprety, DB Rawat - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
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 …

Deep reinforcement learning for intelligent internet of vehicles: An energy-efficient computational offloading scheme

Z Ning, P Dong, X Wang, L Guo… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The emerging vehicular services call for updated communication and computing platforms.
Fog computing, whose infrastructure is deployed in close proximity to terminals, extends the …

Differential security barriers for virtual emotion detection in maritime transportation stations with cooperative mobile robots and UAVs

S Lee, S Lee, H Kim - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
A Maritime Transportation System (MTS) accomplishes diverse tasks including efficient
route, information management, transportation stations. In particular, security and …

Hybrid machine-learning-based spectrum sensing and allocation with adaptive congestion-aware modeling in CR-assisted IoV networks

R Ahmed, Y Chen, B Hassan, L Du… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Unlicensed cognitive-radio (CR)-assisted Internet of Vehicles (IoV) users can access
licensed providers' radio spectrum and concurrently utilize the dedicated channel for data …

Quality of service aware routing protocol in software-defined internet of vehicles

KZ Ghafoor, L Kong, DB Rawat… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Software-defined Internet of Vehicles (SDIoV) has emerged as a promising field of study as it
could overcome the shortcomings of traditional vehicular networks, such as offering efficient …

Location-based trustworthy services recommendation in cooperative-communication-enabled internet of vehicles

M Tao, W Wei, S Huang - Journal of Network and Computer Applications, 2019 - Elsevier
With the development of the Internet of Vehicles (IoV), several potential convenient
applications, eg, road safety and security, streaming services, traffic monitoring and driving …

Dynamic virtual resource allocation mechanism for survivable services in emerging NFV-enabled vehicular networks

H Cao, H Zhao, DX Luo, N Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular ad-hoc network (VANET) is an emerging aspect of the 5G vertical application.
Network function virtualization (NFV) is the key enabling technology of 5G and beyond 5G …

Enhancing the spectrum sensing performance of cluster-based cooperative cognitive radio networks via sequential multiple reporting channels

MA Hossain, M Schukat, E Barrett - Wireless Personal Communications, 2021 - Springer
In cluster-based cooperative cognitive radio networks (CCRNs), spectrum sensing and
decision making processes to determine whether the primary user (PU) signal is present or …

[HTML][HTML] A multi-layer collaboration framework for industrial parks with 5G vehicle-to-everything networks

Y Shi, Q Han, W Shen, X Wang - Engineering, 2021 - Elsevier
Abstract The fifth-generation (5G) wireless communication networks are expected to play an
essential role in the transformation of vertical industries. Among many exciting applications …

Cognitive Radio and Dynamic TDMA for efficient UAVs swarm communications

H Touati, A Chriki, H Snoussi, F Kamoun - Computer Networks, 2021 - Elsevier
In the last decades, under technological progress in electronic and avionics systems,
Unmanned Aerial Vehicles (UAVs) have known an increasing use in several military and …