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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

The Evolution of Federated Learning-Based Intrusion Detection and Mitigation: A Survey
Léo Lavaur, Marc-Oliver Pahl, Yann Busnel, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 19, Iss. 3, pp. 2309-2332
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: a survey
Saqib Ali, Qianmu Li, Abdullah Yousafzai
Ad Hoc Networks (2023) Vol. 152, pp. 103320-103320
Closed Access | Times Cited: 58
Efficient intrusion detection toward IoT networks using cloud–edge collaboration
Run Yang, Hui He, Yixiao Xu, et al.
Computer Networks (2023) Vol. 228, pp. 109724-109724
Closed Access | Times Cited: 28
Federated learning using game strategies: State-of-the-art and future trends
Rajni Gupta, J. P. Gupta
Computer Networks (2023) Vol. 225, pp. 109650-109650
Closed Access | Times Cited: 16
A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges
Manu Narula, Jasraj Meena, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108128-108128
Closed Access | Times Cited: 5
Privacy-preserving intrusion detection with federated learning: enhancing privacy and efficiency in IoT networks
Hemant K. Sharma, Gyan Singh Yadav
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
GöwFed
Aitor Belenguer, José A. Pascual, Javier Navaridas
Journal of Network and Computer Applications (2023) Vol. 217, pp. 103653-103653
Open Access | Times Cited: 12
FLBC-IDS: a federated learning and blockchain-based intrusion detection system for secure IoT environments
Anitha Govindaram, A. Jegatheesan
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Survey on Federated Learning for Intrusion Detection System: Concept, Architectures, Aggregation Strategies, Challenges, and Future Directions
Ansam Khraisat, Ammar Alazab, Sarabjot Singh, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-38
Open Access | Times Cited: 4
Federated Learning for Intrusion Detection Systems in Internet of Vehicles: A General Taxonomy, Applications, and Future Directions
Jadil Alsamiri, Khalid Alsubhi
Future Internet (2023) Vol. 15, Iss. 12, pp. 403-403
Open Access | Times Cited: 10
Federated learning for 5G and beyond, a blessing and a curse- an experimental study on intrusion detection systems
Taki Eddine Toufik Djaidja, Bouziane Brik, Abdelwahab Boualouache, et al.
Computers & Security (2024) Vol. 139, pp. 103707-103707
Open Access | Times Cited: 2
Intrusion Detection with Federated Learning and Conditional Generative Adversarial Network in Satellite-Terrestrial Integrated Networks
Weiwei Jiang, Haoyu Han, Yang Zhang, et al.
Mobile Networks and Applications (2024)
Closed Access | Times Cited: 2
MiraiBotGuard: Federated Learning for Intelligent Defense Against Mirai Threats
Parineeta Dahiya, Saurav Bhattacharya
(2024), pp. 1-6
Closed Access | Times Cited: 1
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training
Quan Dong Nguyen, Hieu H. Pham, Kok‐Seng Wong, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 21, Iss. 1, pp. 418-436
Open Access | Times Cited: 4
A survey about deep learning and federated Learning in cyberse-curity
Imad Tareq, Bassant M. Elbagoury, Salsabil Amin El-Regaily, et al.
Periodicals of Engineering and Natural Sciences (PEN) (2024) Vol. 12, Iss. 1, pp. 75-75
Open Access | Times Cited: 1
Anomaly detection in log-event sequences: A federated deep learning approach and open challenges
Patrick Himler, Max Landauer, Florian Skopik, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100554-100554
Open Access | Times Cited: 1
Design Pattern and Challenges of Federated Learning with Applications in Industrial Control System
Hina Batool, Jiuyun Xu, Ateeq Ur Rehman, et al.
Journal on artificial intelligence (2024) Vol. 6, Iss. 1, pp. 105-128
Open Access | Times Cited: 1
Coordinated Attacks Detection Simulation With Deep Neural Network Algorithm and Federated Learning
Retno Fauziah Istiqomah, Parman Sukarno, Aulia Arif Wardana
(2024), pp. 12-16
Closed Access | Times Cited: 1
Demo: Highlighting the Limits of Federated Learning in Intrusion Detection
Léo Lavaur, Yann Busnel, Fabien Autrel
(2024), pp. 1416-1419
Open Access | Times Cited: 1
Survey of federated learning in intrusion detection
Hao Zhang, Junwei Ye, Wei Huang, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 195, pp. 104976-104976
Closed Access | Times Cited: 1
FedIoTect: Federated Machine Learning for Collaborative Internet of Things Threat Detection
Gitanjali Gitanjali, Er. Rajani Misra
Research Square (Research Square) (2024)
Open Access
Double Robust Federated Digital Twin Modeling in Smart Grid
Yang Zhou, Yang Ge, Jia Li
(2024)
Closed Access
Tutorial: Federated Learning × Security for Network Monitoring
Yann Busnel, Léo Lavaur
(2024), pp. 13-16
Open Access
A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward
Abdul Majeed, Seong Oun Hwang
IEEE Access (2024) Vol. 12, pp. 84643-84679
Open Access
Random forest with differential privacy in federated learning framework for network attack detection and classification
Tijana Markovic, Miguel León, David Buffoni, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 8132-8153
Open Access
SoK: Federated Learning based Network Intrusion Detection in 5G: Context, State of the Art and Challenges
Sara Chennoufi, Grégory Blanc, Houda Jmila, et al.
Proceedings of the 17th International Conference on Availability, Reliability and Security (2024), pp. 1-13
Open Access
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