Federated learning based IDS approach for the IoV-Reference-Cited by-同舟云学术

Federated learning based IDS approach for the IoV

Published:2022-08-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Conference on Availability, Reliability and Security
language:
Short-container-title:

Author:

Hbaieb Amal¹,Ayed Samiha¹,Chaari Lamia²

Affiliation:

1. University of Technology of Troyes, France

2. Laboratory of Signals, systeMs, aRtificial Intelligence and neTworkS, CRNS-SM@RTS, Tunisia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3538969.3544422

Reference32 articles.

1. Applications and Challenges in Internet of Vehicles: A Survey

2. A Tutorial on 5G NR V2X Communications

3. [ 3 ] Zamrai , M. A. H. , Yusof , K. M. , Azizan , M. A. , Azman , M. A. A. , & Hussain , S. M. ( 2021 ). A Survey on Internet of Vehicle (IoV): Applications & Comparison of VANETs , IoV and SDN-IoV. [3] Zamrai, M. A. H., Yusof, K. M., Azizan, M. A., Azman, M. A. A., & Hussain, S. M. (2021). A Survey on Internet of Vehicle (IoV): Applications & Comparison of VANETs, IoV and SDN-IoV.

4. A Survey on Blockchain and Edge Computing applied to the Internet of Vehicles

5. [ 5 ] Houmer , M. , Ouaissa , M. , Ouaissa , M. , & Eddamiri , S. ( 2022 ). Applying machine learning algorithms to improve intrusion detection system in IoV. Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics . [5] Houmer, M., Ouaissa, M., Ouaissa, M., & Eddamiri, S. (2022). Applying machine learning algorithms to improve intrusion detection system in IoV. Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics.

Cited by 8 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. An efficient energy saving scheme using reinforcement learning for 5G and beyond in H-CRAN;Ad Hoc Networks;2024-03

2. IPSHO-Fed: a hybrid federated learning and spotted hyena optimization approach for trust assessment;Neural Computing and Applications;2024-01-22

3. Detecting Cyberattacks to Federated Learning on Software-Defined Networks;Communications in Computer and Information Science;2024

4. Federated Learning for Intrusion Detection Systems in Internet of Vehicles: A General Taxonomy, Applications, and Future Directions;Future Internet;2023-12-14

5. On-Demand Security Framework for 5GB Vehicular Networks;IEEE Internet of Things Magazine;2023-06