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 …
5G device-to-device communication security and multipath routing solutions
Through direct communication, device-to-device (D2D) technology can increase the overall
throughput, enhance the coverage, and reduce the power consumption of cellular …
throughput, enhance the coverage, and reduce the power consumption of cellular …
Spectrum assignment in cognitive radio networks for internet-of-things delay-sensitive applications under jamming attacks
The expected widespread usage of Internet-of-Things (IoT) devices and the associated
diversity of applications will place extra pressure on network resources including bandwidth …
diversity of applications will place extra pressure on network resources including bandwidth …
A survey on ai/ml-driven intrusion and misbehavior detection in networked autonomous systems: Techniques, challenges and opportunities
AI/ML-based intrusion detection systems (IDSs) and misbehavior detection systems (MDSs)
have shown great potential in identifying anomalies in the network traffic of networked …
have shown great potential in identifying anomalies in the network traffic of networked …
Preserving the location privacy of secondary users in cooperative spectrum sensing
Cooperative spectrum sensing, despite its effectiveness in enabling dynamic spectrum
access, suffers from location privacy threats, merely because secondary users (SUs)'sensing …
access, suffers from location privacy threats, merely because secondary users (SUs)'sensing …
Optimal frequency-hopping anti-jamming strategy based on multi-step prediction Markov decision process
P Wei, S Wang, J Luo, Y Liu, L Hu - Wireless Networks, 2021 - Springer
With the increasingly fierce competition for electromagnetic spectrum resources and the
rapid development in artificial intelligence, frequency-hopping (FH) communication systems …
rapid development in artificial intelligence, frequency-hopping (FH) communication systems …
An adaptive anti-jamming system in HyperLedger-based wireless sensor networks
Using new methodologies such as Blockchain in data communications in wireless sensor
networks (WSN) has emerged owing to the proliferation of collaborative technologies …
networks (WSN) has emerged owing to the proliferation of collaborative technologies …
Attacks detection approach based on a reinforcement learning process to secure 5g wireless network
H Sedjelmaci - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Fifth Generation (5G) wireless network will be a subject to a variety of cyber-threats from
advanced and complex attacks. In this article, we aim to secure the 5G wireless systems …
advanced and complex attacks. In this article, we aim to secure the 5G wireless systems …
Jamming resiliency and mobility management in cognitive communication networks
N Adem, B Hamdaoui - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
Cognitive communication networks, or simply cognitive networks (CNs), are one of the
enabling technologies for next generation networks. Through dynamic spectrum access …
enabling technologies for next generation networks. Through dynamic spectrum access …
[PDF][PDF] AI/ML-Driven Intrusion and Misbehavior Detection in Networked Autonomous Systems: A Survey of Common Practices
O Ajibuwa, B Hamdaoui, AA Yavuz - 2023 - ir.library.oregonstate.edu
AI/ML-based intrusion detection systems (IDSs) and misbehavior detection systems (MDSs)
have shown great potential in identifying anomalies in network traffic of networked …
have shown great potential in identifying anomalies in network traffic of networked …