Deep learning for security problems in 5G heterogeneous networks

Z Lv, AK Singh, J Li - IEEE Network, 2021 - ieeexplore.ieee.org
With increasingly complex network structure, requirements for heterogeneous 5G are also
growing. The aim of this study is to meet the network security performance under the existing …

Mitigating jamming attack in 5G heterogeneous networks: A federated deep reinforcement learning approach

H Sharma, N Kumar… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Jamming attack is one of the serious security breaches in the upcoming fifth-generation
heterogeneous networks (5G HetNets). Most of the existing anti-jamming techniques, such …

Deep learning based modulation classification for 5G and beyond wireless systems

JC Clement, N Indira, P Vijayakumar… - Peer-to-peer networking …, 2021 - Springer
The 5G and beyond wireless networks will be more dynamic and heterogeneous, which
needs to work on multistrand waveforms. One of the most significant challenges in such a …

Automatic modulation classification based on deep learning for software‐defined radio

P Wu, B Sun, S Su, J Wei, J Zhao… - … Problems in Engineering, 2020 - Wiley Online Library
With the development of artificial intelligence technology, deep learning has been applied to
automatic modulation classification (AMC) and achieved very good results. In this paper, we …

Federated learning empowered end-edge-cloud cooperation for 5G HetNet security

Y Wei, S Zhou, S Leng, S Maharjan, Y Zhang - IEEE Network, 2021 - ieeexplore.ieee.org
The distributed and heterogeneous framework in the 5G heterogeneous network (Het-Net)
makes it vulnerable to attacks of different kinds. Nodes for improving the network security are …

A review of research on signal modulation recognition based on deep learning

W Xiao, Z Luo, Q Hu - Electronics, 2022 - mdpi.com
Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …

Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification

HA Kholidy, A Berrouachedi… - 2023 20th ACS/IEEE …, 2023 - ieeexplore.ieee.org
Over the last decade, the demand for greater security in 5G networks has grown
significantly. Ensuring data security during transmission against external attacks has …

Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends

N Haider, MZ Baig, M Imran - arXiv preprint arXiv:2007.04490, 2020 - arxiv.org
Recent technological and architectural advancements in 5G networks have proven their
worth as the deployment has started over the world. Key performance elevating factor from …

A deep learning method based on convolutional neural network for automatic modulation classification of wireless signals

Y Xu, D Li, Z Wang, Q Guo, W Xiang - Wireless Networks, 2019 - Springer
Automatic modulation classification plays an important role in many fields to identify the
modulation type of wireless signals in order to recover signals by demodulation. In this …

Secure resource management in beyond 5G heterogeneous networks with decoupled access

HZ Khan, M Ali, M Naeem, I Rashid, S Mumtaz… - Ad Hoc Networks, 2022 - Elsevier
Coverage, capacity and throughput can be enhanced significantly by offering a hybrid
solution consisting of microwave (μ W) high power base station (HPB) underlaid millimetre …