3 papers
cs.CR2025
FAST-IDS: A Fast Two-Stage Intrusion Detection System with Hybrid Compression for Real-Time Threat Detection in Connected and Autonomous Vehicles
Devika S, Vishnu Hari, Pratik Narang +2
We have implemented a multi-stage IDS for CAVs that can be deployed to resourec-constrained environments after hybrid model compression.
cs.CR2025
FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles
Devika S, Vishnu Hari, Pratik Narang +2
This works presents an encoder-only transformer built with minimum layers for intrusion detection in the domain of Connected and Autonomous Vehicles using Federated Learning.
cs.CR2025
FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection
Devika S, Pratik Narang, Tejasvi Alladi
This work implements a lightweight Transformer model for IDS in the domain of Connected and Autonomous Vehicles