Smart grid cyber-physical attack and defense: A review
Recent advances in the cyber-physical smart grid (CPSG) have enabled a broad range of
new devices based on the information and communication technology (ICT). However, these …
new devices based on the information and communication technology (ICT). However, these …
A survey of machine learning for big data processing
There is no doubt that big data are now rapidly expanding in all science and engineering
domains. While the potential of these massive data is undoubtedly significant, fully making …
domains. While the potential of these massive data is undoubtedly significant, fully making …
5G technology: Towards dynamic spectrum sharing using cognitive radio networks
The explosive popularity of small-cell and Internet of Everything devices has tremendously
increased traffic loads. This increase has revolutionised the current network into 5G …
increased traffic loads. This increase has revolutionised the current network into 5G …
[PDF][PDF] Semi-Supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification.
Deep Learning (DL) is such a powerful tool that we have seen tremendous success in areas
such as Computer Vision, Speech Recognition, and Natural Language Processing. Since …
such as Computer Vision, Speech Recognition, and Natural Language Processing. Since …
Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives
A Fascista - Sensors, 2022 - mdpi.com
Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …
interest and sources of hot debate in today's society. According to the United Nations, there …
Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
Digital signal modulation classification with data augmentation using generative adversarial nets in cognitive radio networks
Automated modulation classification plays a very important part in cognitive radio networks.
Deep learning is also a powerful tool that we could not overlook its potential in addressing …
Deep learning is also a powerful tool that we could not overlook its potential in addressing …
[HTML][HTML] 6G service-oriented space-air-ground integrated network: A survey
N Cheng, HE Jingchao, YIN Zhisheng… - Chinese Journal of …, 2022 - Elsevier
As an indispensable component of the emerging 6G networks, Space-Air-Ground Integrated
Networks (SAGINs) are envisioned to provide ubiquitous network connectivity and services …
Networks (SAGINs) are envisioned to provide ubiquitous network connectivity and services …
Byzantine attack and defense in cognitive radio networks: A survey
The Byzantine attack in cooperative spectrum sensing (CSS), also known as the spectrum
sensing data falsification (SSDF) attack in the literature, is one of the key adversaries to the …
sensing data falsification (SSDF) attack in the literature, is one of the key adversaries to the …
Spectrum occupancy measurements: A survey and use of interference maps
M Höyhtyä, A Mämmelä, M Eskola… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
In order to provide meaningful data about spectrum use, occupancy measurements
describing the utilization rate of a specific frequency band should be conducted over a …
describing the utilization rate of a specific frequency band should be conducted over a …