Ashok Kumar Das

A secure authentication protocol for detecting intrusions in IoT traffic data streams using federated learning

A secure and scalable Federated Learning–based architecture with a lightweight authentication protocol to enable collaborative learning from distributed IoT data streams and a federated version of the Hoeffding tree algorithm for real-time learning is developed.

PQ-AuthV: Post-Quantum Secure Authentication With Aggregated Signatures in IoT-Enabled Smart Vehicle Networks

Large Language Model Enhanced Differentiable Trajectory Planning for IoT-Enabled Autonomous Driving

A large language model (LLM) enhanced differentiable trajectory planning framework for IoT-enabled autonomous driving is proposed and a surrounding agent centric data augmentation strategy is introduced to reorganize sur rounding agent trajectories as additional planning supervision, thereby improving the training dist...