Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing

Network slicing is a pivotal paradigm in wireless networks enabling customized services to users and applications. Yet, intelligent jamming attacks threaten the performance of network slicing. In this paper, we focus on the security aspect of network slicing over a deep transfer reinforcement learni...

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Autori principali:	Shavbo Salehi, Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Transactions on Machine Learning in Communications and Networking
Soggetti:	Network slicing deep transfer reinforcement learning intelligent jamming attack jamming attack mitigation
Accesso online:	https://ieeexplore.ieee.org/document/10699421/
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