Mitigating Class Imbalance for IoT Network Intrusion Detection: A Survey
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9564289/9564092/09564315.pdf?arnumber=9564315
Cited by 8 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. Study for Integrating IoT-IDS Datasets: Machine and Deep Learning for Secure IoT Network System;Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering;2024-06-18
2. Designing a modified feature aggregation model with hybrid sampling techniques for network intrusion detection;Cluster Computing;2024-02-17
3. Machine Learning-Based Cyberattacks Detection Enhancement in Iot Environments with Imbalanced Data Handling;2024
4. Mitigating data imbalance to improve the generalizability in IoT DDoS detection tasks;The Journal of Supercomputing;2023-12-19
5. Few-Shot Learning-Based Malicious IoT Traffic Detection with Prototypical Graph Neural Networks;IEICE Transactions on Information and Systems;2023-09-01
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