English

FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles

Cryptography and Security 2026-01-01 v1 Artificial Intelligence
Authors: Devika S , Vishnu Hari , Pratik Narang , Tejasvi Alladi , F. Richard Yu
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Abstract

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.

Keywords

federated learning transformer intrusion detection connected and autonomous vehicles lightweight model encoder-only

Cite

@article{arxiv.2512.24345,
  title  = {FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles},
  author = {Devika S and Vishnu Hari and Pratik Narang and Tejasvi Alladi and F. Richard Yu},
  journal= {arXiv preprint arXiv:2512.24345},
  year   = {2026}
}

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