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FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection

2025-12-30 · Devika S, Pratik Narang, Tejasvi Alladi arxiv

This work implements a lightweight Transformer model for IDS in the domain of Connected and Autonomous Vehicles

📄 PDF Abstract BibTeX arXiv:2512.24088

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Tasks

Autonomous Vehicles Intrusion Detection

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

2025-12-30 · Devika S, Vishnu Hari, Pratik Narang, Tejasvi Alladi 외 arxiv

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.

Autonomous Vehicles Intrusion Detection Federated Learning

FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm

2025-08-12 · Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal arxiv

Intrusion Detection Systems (IDS) have an increasingly important role in preventing exploitation of network vulnerabilities by malicious actors. Recent deep learning based developments have resulted in significant improv…

Network Intrusion Detection Federated Learning

Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection

2023-06-22 · Mert Nakıp, Baran Can Gül, Erol Gelenbe

Cyberattacks are increasingly threatening networked systems, often with the emergence of new types of unknown (zero-day) attacks and the rise of vulnerable devices. Such attacks can also target multiple components of a S…

Federated Learning Intrusion Detection

Improving Transferability of Network Intrusion Detection in a Federated Learning Setup

2024-01-07 · Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal

Network Intrusion Detection Systems (IDS) aim to detect the presence of an intruder by analyzing network packets arriving at an internet connected device. Data-driven deep learning systems, popular due to their superior …

Federated Learning Intrusion Detection Network Intrusion Detection

FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing

2022-05-23 · Helio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia C. Fernandes

Fast identification of new network attack patterns is crucial for improving network security. Nevertheless, identifying an ongoing attack in a heterogeneous network is a non-trivial task. Federated learning emerges as a …