mKDNAD: A network flow anomaly detection method based on multi-teacher knowledge distillation
Author:
Affiliation:
1. University of Electronic Science and Technology of China,Chengdu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9964480/9964481/09965345.pdf?arnumber=9965345
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1. S-KDGAN: Series-Knowledge Distillation With GANs for Anomaly Detection of Sensor Time-Series Data in Smart IoT;IEEE Sensors Journal;2024-08-01
2. Cross-Factory Polarizer Sheet Surface Defect Inspection System Based on Multiteacher Knowledge Amalgamation;IEEE Transactions on Instrumentation and Measurement;2024
3. Semi-supervised Campus Network Intrusion Detection Based on Knowledge Distillation;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
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