An efficient intrusion detection method based on dynamic autoencoder
The proliferation of wireless sensor networks (WSNs) and their applications has attracted
remarkable growth in unsolicited intrusions and security threats, which disrupt the normal …
remarkable growth in unsolicited intrusions and security threats, which disrupt the normal …
Adaptive hierarchical federated learning over wireless networks
Federated learning (FL) is promising in enabling large-scale model training by massive
devices without exposing their local datasets. However, due to limited wireless resources …
devices without exposing their local datasets. However, due to limited wireless resources …
Security concepts in emerging 6G communication: Threats, countermeasures, authentication techniques and research directions
Challenges faced in network security have significantly steered the deployment timeline of
Fifth Generation (5G) communication at a global level; therefore, research in Sixth …
Fifth Generation (5G) communication at a global level; therefore, research in Sixth …
A DQN-based frame aggregation and task offloading approach for edge-enabled IoMT
The rapid expansion of wearable medical devices and health data of Internet of Medical
Things (IoMT) poses new challenges to the high Quality of Service (QoS) of intelligent health …
Things (IoMT) poses new challenges to the high Quality of Service (QoS) of intelligent health …
A deep learning-based low overhead beam selection in mmWave communications
H Echigo, Y Cao, M Bouazizi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to large amounts of available spectrum at high frequencies, millimeter-wave (mmWave)
technology has gained extensive research attention in 5G communications, whereas …
technology has gained extensive research attention in 5G communications, whereas …
A survey of 6G wireless communications: Emerging technologies
Abstract While fifth-generation (5G) communications are being rolled out around the world,
sixth-generation (6G) communications have attracted much attention from both the industry …
sixth-generation (6G) communications have attracted much attention from both the industry …
Interference challenges and management in B5G network design: A comprehensive review
Beyond Fifth Generation (B5G) networks are expected to be the most efficient cellular
wireless networks with greater capacity, lower latency, and higher speed than the current …
wireless networks with greater capacity, lower latency, and higher speed than the current …
Transfer learning for semi-supervised automatic modulation classification in ZF-MIMO systems
Automatic modulation classification (AMC) is an essential technology for the non-
cooperative communication systems, and it is widely applied into various communications …
cooperative communication systems, and it is widely applied into various communications …
Malware traffic classification using domain adaptation and ladder network for secure industrial internet of things
J Ning, G Gui, Y Wang, J Yang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Malware traffic classification (MTC) is a key technology for anomaly and intrusion detection
in secure Industrial Internet of Things (IIoT). Traditional MTC methods based on port …
in secure Industrial Internet of Things (IIoT). Traditional MTC methods based on port …
Optimizing the operation cost for UAV-aided mobile edge computing
Mobile edge computing (MEC) is leveraged to reduce the latency for the computation-
intensive and latency-critical tasks offloaded from wireless devices and Internet of Things …
intensive and latency-critical tasks offloaded from wireless devices and Internet of Things …