Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks-Reference-Cited by-同舟云学术

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Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks

Published:2017-06 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)
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Author:

Baek Sunhee,Kwon Donghwoon,Kim Jinoh,Suh Sang C.,Kim Hyunjoo,Kim Ikkyun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7985548/7987154/07987199.pdf?arnumber=7987199

Cited by 24 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

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3. A Hybrid Learning Approach for Automatic Data Labelling and Anomaly Detection in IoT Networks;2023 3rd International Conference on Artificial Intelligence (ICAI);2023-02-22

4. Accurate Real-Time Labeling of Application Traffic;2022 IEEE 47th Conference on Local Computer Networks (LCN);2022-09-26

5. MARK: Fill in the blanks through a JointGAN based data augmentation for network anomaly detection;Computers & Security;2022-08

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