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DLPriv: Deep Learning Based Dynamic Location Privacy Mechanism for LBS in Internet-of-Vehicles.

, , , , , and . NaNA, page 514-519. IEEE, (2023)

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Blockchained Federated Learning for Internet of Things: A Comprehensive Survey., , , , , , , and . CoRR, (2023)New Cloaking Region Obfuscation for Road Network-Indistinguishability and Location Privacy., , , , , , and . RAID, page 160-170. ACM, (2022)Personalized Location Privacy With Road Network-Indistinguishability., , , and . IEEE Trans. Intell. Transp. Syst., 23 (11): 20860-20872 (2022)Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review., , , , , , , , , and . CoRR, (2023)MT-CNN: A Classification Method of Encrypted Traffic Based on Semi-Supervised Learning., , , , and . GLOBECOM, page 7538-7543. IEEE, (2023)Trajectory Obfuscation and Detection in Internet-of-vehicles., , , , , and . CSCWD, page 769-774. IEEE, (2022)Differential Preserving in XGBoost Model for Encrypted Traffic Classification., , , , , and . NaNA, page 220-225. IEEE, (2022)DLPriv: Deep Learning Based Dynamic Location Privacy Mechanism for LBS in Internet-of-Vehicles., , , , , and . NaNA, page 514-519. IEEE, (2023)Leveraging Byte-Level Features for LSTM-based Anomaly Detection in Controller Area Networks., , , , , , and . GLOBECOM, page 4903-4908. IEEE, (2022)A Secure Aggregation for Federated Learning on Long-Tailed Data., , , , , , and . CoRR, (2023)