Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN

Published:2024-07 Issue:7 Volume:73 Page:9334-9343
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Houda Zakaria Abou El¹^ORCID,Moudoud Hajar²^ORCID,Brik Bouziane³^ORCID

Affiliation:

1. Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique (INRS-EMT), Varennes, QC, Canada

2. L@bISEN, ISEN Yncrea Ouest, Nevers, France

3. Computer Science Department, College of Computing and Informatics, Sharjah University, Sharjah, UAE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10606142/10416344.pdf?arnumber=10416344

Reference35 articles.

1. Open RAN security: Challenges and opportunities;Liyanage,2023

2. Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey

3. Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges

4. Jamsa: A Utility Optimal Contextual Online Learning Framework for Anti-Jamming Wireless Scheduling Under Reactive Jamming Attack

5. Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Vehicular Networks With Hierarchical O-RAN Slicing and Federated DRL;IEEE Transactions on Green Communications and Networking;2024-09

2. Adversarial robustness of deep reinforcement learning-based intrusion detection;International Journal of Information Security;2024-08-29

3. Blockchain Meets O-RAN: A Decentralized Zero-Trust Framework for Secure and Resilient O-RAN in 6G and Beyond;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

4. Federated Learning for Privacy-Preserving Intrusion Detection in Software-Defined Networks;IEEE Access;2024

5. Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects;IEEE Open Journal of the Communications Society;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3