Collaborative DDoS Detection in Distributed Multi-Tenant IoT using Federated Learning
Author:
Affiliation:
1. University of New Brunswick,Canadian Institute for Cybersecurity,Fredericton,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9851848/9851959/09851984.pdf?arnumber=9851984
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Federated Learning-Based Solution for DDoS Detection in SDN;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19
2. Open-Set Recognition in Unknown DDoS Attacks Detection With Reciprocal Points Learning;IEEE Access;2024
3. Intrusion Detection With Deep Learning Classifiers: A Synergistic Approach of Probabilistic Clustering and Human Expertise to Reduce False Alarms;IEEE Access;2024
4. IOTs Traffics Detection and Analysis Using Machine Learning for Cybersecurity Application;2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27
5. Investigating Neural-based Function Name Reassignment from the Perspective of Binary Code Representation;2023 20th Annual International Conference on Privacy, Security and Trust (PST);2023-08-21
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