Evaluating Federated Learning for Intrusion Detection in Internet of
Things: Review and Challenges

Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges

2 August 2021

Enrique Mármol Campos

Pablo Fernández Saura

Aurora González-Vidal

José Luis Hernández Ramos

Jorge Bernal Bernabé

A. Gómez-Skarmeta

Papers citing "Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges"

19 / 19 papers shown

Title
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things Saeid Jamshidi Amin Nikanjam Nafi Kawser Wazed Foutse Khomh 24 0 0 09 Apr 2025
Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS Md Raihan Uddin Gauri Shankar Saddam Hossain Mukta Prabhat Kumar Najmul Islam FedML 16 0 0 24 Sep 2024
A Robust Multi-Stage Intrusion Detection System for In-Vehicle Network Security using Hierarchical Federated Learning Muzun Althunayyan Amir Javed Omer F. Rana AAML 18 6 0 15 Aug 2024
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems Pavlos S. Bouzinis Panagiotis I. Radoglou-Grammatikis Ioannis Makris T. Lagkas Vasileios Argyriou Georgios Th. Papadopoulos Panagiotis G. Sarigiannidis G. Karagiannidis 28 0 0 20 May 2024
Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models Enrique Mármol Campos Aurora González-Vidal José Luis Hernández Ramos A. Gómez-Skarmeta 25 1 0 16 May 2024
Enhancing IoT Security Against DDoS Attacks through Federated Learning Ghazaleh Shirvani Saeid Ghasemshirazi Mohammad Ali Alipour 25 1 0 16 Mar 2024
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning Enrique Mármol Campos Aurora González-Vidal José Luis Hernández Ramos A. Gómez-Skarmeta AAML 31 2 0 15 Feb 2024
Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning Jiyuan Shen Wenzhuo Yang Zhaowei Chu Jiani Fan Dusit Niyato Kwok-Yan Lam FedML 20 0 0 22 Jan 2024
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security Ozlem Ceviz Pinar Sadioglu Sevil Sen U. York 15 1 0 07 Dec 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification Jacopo Talpini Fabio Sartori Marco Savi 14 2 0 05 Sep 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang L. Liu Youwei Ding Wanyi Lu 14 0 0 23 Aug 2023
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection Mert Nakıp Baran Can Gül Erol Gelenbe 14 8 0 22 Jun 2023
Federated Deep Learning for Intrusion Detection in IoT Networks Othmane Belarbi Theodoros Spyridopoulos Eirini Anthi Ioannis Mavromatis P. Carnelli Aftab Khan OOD 10 12 0 05 Jun 2023
CADeSH: Collaborative Anomaly Detection for Smart Homes Yair Meidan D. Avraham H. Libhaber A. Shabtai 16 8 0 02 Mar 2023
Detection and Prevention Against Poisoning Attacks in Federated Learning Viktor Valadi Madeleine Englund Mark Spanier Austin F. O'Brien FedML AAML 6 0 0 24 Oct 2022
Anomaly Detection via Federated Learning Marc Vucovich A. Tarcar Penjo Rebelo N. Gade Ruchi Porwal ... R. Schiller Edward Bowen Alex West Sanmitra Bhattacharya Balaji Veeramani FedML 14 5 0 12 Oct 2022
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach G. Bertoli Lourencco Alves Pereira Junior A. Santos O. Saotome FedML 15 53 0 01 Sep 2022
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 121 155 0 22 Jul 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 130 1,663 0 14 Apr 2018