The paper sketches an untested architecture integrating adaptive privacy, dynamic masking, blockchain provenance, secure aggregation, and XAI for IoV federated learning.
An efficient and prov- ably secure ECC-based conditional privacy-preserving authentication for vehicle-to-vehicle communication in V ANETs,
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FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs
The paper sketches an untested architecture integrating adaptive privacy, dynamic masking, blockchain provenance, secure aggregation, and XAI for IoV federated learning.