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...
Saved in:
| Main Authors: | Shavbo Salehi, Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Transactions on Machine Learning in Communications and Networking |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10699421/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Geometry-covering based localization for Jamming attack in wireless sensor networks
by: SUN Yan-qiang, et al.
Published: (2010-01-01) -
Geometry-covering based localization for Jamming attack in wireless sensor networks
by: SUN Yan-qiang, et al.
Published: (2010-01-01) -
Blockchain and Game Theory-Based Strategies for Anti-Jamming and Eavesdropping in EH-CR Networks
by: Haifeng Hou, et al.
Published: (2024-01-01) -
Overview of Radar Jamming Waveform Design
by: Yu Pan, et al.
Published: (2025-03-01) -
Mitigating jamming attacks in underwater sensor networks using M-Qubed-based opportunistic routing protocol
by: Joonsu Ryu, et al.
Published: (2025-06-01)