Federated Learning for Intrusion Detection System: Concepts, Challenges
and Future Directions

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions

16 June 2021

Shaashwat Agrawal

Kandaraj Piamrat

S. Bhattacharya

Praveen Kumar Reddy Maddikunta

Thippa Reddy Gadekallu

Papers citing "Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions"

6 / 6 papers shown

Title
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems S. Mandelli Vinod Puthuvath Anderson Rocha Rafidha Rehiman K. A. Mauro Conti AAML 33 0 0 06 Apr 2025
Principles and Components of Federated Learning Architectures S. Saif Md Abdullah Al Nasim Parag Biswas Abdur Rashid Md. Mahim Anjum Haque Md. Zihad Bin Jahangir Kishor Datta Gupta FedML 64 1 0 07 Feb 2025
Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning Ozlem Ceviz Sevil Sen Pinar Sadioglu 70 1 0 22 Jan 2025
Counter Denial of Service for Next-Generation Networks within the Artificial Intelligence and Post-Quantum Era Saleh Darzi Attila A. Yavuz AAML 37 2 0 08 Aug 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 32 119 0 18 Mar 2022