How machine learning changes the nature of cyberattacks on IoT networks: A survey
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …
life in recent years. However, this development does not only present advantages. Indeed …
The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges
Security is one of the biggest challenges concerning networks and communications. The
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …
Game theory and reinforcement learning for anti-jamming defense in wireless communications: Current research, challenges, and solutions
L Jia, N Qi, Z Su, F Chu, S Fang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to the inherently open and shared nature of the wireless channels, wireless
communication networks are vulnerable to jamming attacks, and effective anti-jamming …
communication networks are vulnerable to jamming attacks, and effective anti-jamming …
6G white paper on machine learning in wireless communication networks
The focus of this white paper is on machine learning (ML) in wireless communications. 6G
wireless communication networks will be the backbone of the digital transformation of …
wireless communication networks will be the backbone of the digital transformation of …
Context-aware proactive content caching with service differentiation in wireless networks
Content caching in small base stations or wireless infostations is considered to be a suitable
approach to improve the efficiency in wireless content delivery. Placing the optimal content …
approach to improve the efficiency in wireless content delivery. Placing the optimal content …
Neural fictitious self-play for radar antijamming dynamic game with imperfect information
One emerging issue in modern electronic warfare is the competition between the radar and
jammer, which in principle can be viewed as a noncooperative game with two players. In …
jammer, which in principle can be viewed as a noncooperative game with two players. In …
Performance analysis of deep reinforcement learning-based intelligent cooperative jamming method confronting multi-functional networked radar
W Zhang, T Zhao, Z Zhao, D Ma, F Liu - Signal Processing, 2023 - Elsevier
With the development of artificial intelligence technology, more and more intelligent
countermeasure methods are applied in military confrontation fields to improve the …
countermeasure methods are applied in military confrontation fields to improve the …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
An intelligent anti-jamming scheme for cognitive radio based on deep reinforcement learning
J Xu, H Lou, W Zhang, G Sang - IEEE Access, 2020 - ieeexplore.ieee.org
Cognitive radio network is an intelligent wireless communication system which can adjust its
transmission parameters according to the environment thanks to its learning ability. It is a …
transmission parameters according to the environment thanks to its learning ability. It is a …
Radar jamming decision-making in cognitive electronic warfare: A review
C Zhang, L Wang, R Jiang, J Hu, S Xu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
With the increasingly complex electromagnetic environment and the intelligent development
of radar, the jammer, as opposed to radar, urgently needs to improve its ability to recognize …
of radar, the jammer, as opposed to radar, urgently needs to improve its ability to recognize …