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Federated Learning-based Inter-slice Attack Detection for 5G-V2X Sliced Networks.

, and . VTC Fall, page 1-6. IEEE, (2022)

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A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks., and . CoRR, (2022)Urban pseudonym changing strategy for location privacy in VANETs., and . Int. J. Ad Hoc Ubiquitous Comput., 24 (1/2): 49-64 (2017)SDN-based Misbehavior Detection System for Vehicular Networks., , and . VTC Spring, page 1-5. IEEE, (2020)Federated Learning-based Inter-slice Attack Detection for 5G-V2X Sliced Networks., and . VTC Fall, page 1-6. IEEE, (2022)DRIVE-B5G: A Flexible and Scalable Platform Testbed for B5G-V2X Networks., , , , and . GLOBECOM, page 2800-2805. IEEE, (2022)Deep Learning-based Smart Radio Jamming Attacks Detection on 5G V2I/V2N Communications., , , , and . GLOBECOM, page 7139-7144. IEEE, (2023)Toward an SDN-based Data Collection Scheme for Vehicular Fog Computing., , and . ICC, page 1-6. IEEE, (2020)Consortium Blockchain for Cooperative Location Privacy Preservation in 5G-Enabled Vehicular Fog Computing., , and . IEEE Trans. Veh. Technol., 70 (7): 7087-7102 (2021)When Two-Layer Federated Learning and Mean-Field Game Meet 5G and Beyond Security: Cooperative Defense Systems for 5G and Beyond Network Slicing., and . IEEE Trans. Netw. Serv. Manag., 21 (1): 1178-1189 (February 2024)On-Demand Security Framework for 5GB Vehicular Networks., , , and . IEEE Internet Things Mag., 6 (2): 26-31 (June 2023)