A Blockchain-assisted Collaborative Ensemble Learning for Network Intrusion Detection
Author:
Affiliation:
1. Shanghai University of Electric Power,College of Computer Science and Technology,Shanghai,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10063338/10063342/10063382.pdf?arnumber=10063382
Reference26 articles.
1. Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT
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3. BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest
4. Amalgamation of Blockchain and AI to Classify Malicious Behavior of Autonomous Vehicles
5. A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
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