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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:

Federated learning-based intrusion detection system for Internet of Things
Najet Hamdi
International Journal of Information Security (2023)
Closed Access | Times Cited: 12

Showing 12 citing articles:

A federated learning-based zero trust intrusion detection system for Internet of Things
Danish Javeed, Muhammad Shahid Saeed, Muhammad Adil, et al.
Ad Hoc Networks (2024) Vol. 162, pp. 103540-103540
Open Access | Times Cited: 14
A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM
Shuroog Alsaleh, Mohamed El Bachir Menaï, Saad Al-Ahmadi
Sensors (2025) Vol. 25, Iss. 4, pp. 1039-1039
Open Access
CFL-IDS: An Effective Clustered Federated Learning Framework for Industrial Internet of Things Intrusion Detection
Yao Shan, Yu Yao, Xiaoming Zhou, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 6, pp. 10007-10019
Closed Access | Times Cited: 9
Privacy-Preserving Detection of DDoS Attacks in IoT Using Federated Learning Techniques
Kunal Bhatia, Saurav Bhattacharya, Ishu Sharma
(2024), pp. 234-239
Closed Access | Times Cited: 1
Harnessing federated learning for anomaly detection in supercomputer nodes
Emmen Farooq, Michela Milano, Andrea Borghesi
Future Generation Computer Systems (2024) Vol. 161, pp. 673-685
Closed Access | Times Cited: 1
An Efficient Intrusion Detection System to Combat Cyber Threats using a Deep Neural Network Model
Mangayarkarasi Ramaiah, C. Vanmathi, Mohammad Zubair Khan, et al.
Journal of ICT Research and Applications (2023) Vol. 17, Iss. 3, pp. 292-315
Open Access | Times Cited: 2
Harnessing Federated Learning for Anomaly Detection in Supercomputer Nodes
Emmen Farooq, Michela Milano, Andrea Borghesi
(2024)
Closed Access
Enhancing Disaster Recovery Mechanism in SCADA using Multichain Blockchain
Kunal Bhatia, Anirudh Khanna, Ishu Sharma
(2024), pp. 226-231
Closed Access
FedHE-Graph: Federated Learning with Hybrid Encryption on Graph Neural Networks for Advanced Persistent Threat Detection
Atmane Ayoub Mansour Bahar, Kamel Soaïd Ferrahi, Mohamed‐Lamine Messai, et al.
Proceedings of the 17th International Conference on Availability, Reliability and Security (2024), pp. 1-10
Closed Access
Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Survey
Abhishek Vyas, Po‐Ching Lin, Ren‐Hung Hwang, et al.
IEEE Access (2024) Vol. 12, pp. 127018-127050
Open Access
Federated Random Forest with Feature Selection for Collaborative Intrusion Detection in Internet of Things
Aulia Arif Wardana, Parman Sukarno, Setio Basuki, et al.
Procedia Computer Science (2024) Vol. 246, pp. 20-29
Open Access
Preserving the Privacy in IoT Medical data in Edge Computing using Modified AES Model with Discrete-Time Alternating Quantum Walk
M R Dileep, Lagadapati Vineeth, Sashikanth Reddy Avula, et al.
(2023), pp. 1-6
Closed Access
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