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Physical layer security for beyond 5G/6G networks: Emerging technologies and future directions
Physical layer security (PLS) has proven to be a potential solution for enhancing the security
performance of future 5G networks, which promises to fulfill the demands of increasing user …
performance of future 5G networks, which promises to fulfill the demands of increasing user …
[HTML][HTML] An overview of key technologies in physical layer security
The open nature of radio propagation enables ubiquitous wireless communication. This
allows for seamless data transmission. However, unauthorized users may pose a threat to …
allows for seamless data transmission. However, unauthorized users may pose a threat to …
Deep reinforcement learning for delay-oriented IoT task scheduling in SAGIN
In this article, we investigate a computing task scheduling problem in space-air-ground
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
Mobile collaborative secrecy performance prediction for artificial IoT networks
The integration of artificial intelligence and Internet of Things (IoT) has promoted the rapid
development of artificial IoT (AIoT) networks. A wide range of AIoT applications have …
development of artificial IoT (AIoT) networks. A wide range of AIoT applications have …
Machine learning based low-rate DDoS attack detection for SDN enabled IoT networks
H Cheng, J Liu, T Xu, B Ren, J Mao… - … Journal of Sensor …, 2020 - inderscienceonline.com
The software-defined network (SDN) enabled internet of things (IoT) architecture is deployed
in many industrial systems. The ability of SDN to intelligently route traffic and use …
in many industrial systems. The ability of SDN to intelligently route traffic and use …
SecBoost: Secrecy-aware deep reinforcement learning based energy-efficient scheme for 5G HetNets
In this article, we propose a secrecy-aware energy-efficient scheme for a two-tier
heterogeneous network (HetNet), consisting of a sub-6 GHz macrocell and multiple …
heterogeneous network (HetNet), consisting of a sub-6 GHz macrocell and multiple …
A new resource allocation mechanism for security of mobile edge computing system
H Hui, C Zhou, X An, F Lin - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile-Edge Computing (MEC) is a new computing paradigm that provides a capillary
distribution of cloud computing capabilities to the network edge. In this paper, we studied the …
distribution of cloud computing capabilities to the network edge. In this paper, we studied the …
Secure Uplink Transmission Against Multi-Intelligent Eavesdroppers With Time-Domain Artificial Noise in MIMO IoT Systems
Physical-layer security (PLS) has become an intriguing technology to address
eavesdrop** issues in Internet of Things (IoT) systems owing to its low complexity and …
eavesdrop** issues in Internet of Things (IoT) systems owing to its low complexity and …
Secrecy rate maximization in THz-aided heterogeneous networks: A deep reinforcement learning approach
Densely deployed femtocells in heterogeneous networks (HetNets) improve the quality-of-
service (QoS) and quality-of-experience (QoE) for both next-generation networks and end …
service (QoS) and quality-of-experience (QoE) for both next-generation networks and end …
Joint secure transceiver design for an untrusted MIMO relay assisted over-the-air computation networks with perfect and imperfect CSI
In this paper, we investigate the physical layer security of an untrusted relay assisted over-
the-air computation (AirComp) network, where each node is equipped with multiple …
the-air computation (AirComp) network, where each node is equipped with multiple …