Nonlinear dimensionality reduction for intrusion detection using auto-encoder bottleneck features-Reference-Cited by-同舟云学术

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Nonlinear dimensionality reduction for intrusion detection using auto-encoder bottleneck features

Published:2015-05 Issue: Volume: Page:
ISSN:
Container-title:2015 7th Conference on Information and Knowledge Technology (IKT)
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Author:

Abolhasanzadeh Bahareh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7272440/7288662/07288799.pdf?arnumber=7288799

Cited by 23 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. CNN-BiLSTM Cloud Intrusion Detection Method Based on Contractive Auto-Encoder Feature Enhancement;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

2. FlowGANAnomaly: Flow-Based Anomaly Network Intrusion Detection with Adversarial Learning;Chinese Journal of Electronics;2024-01

3. A Novel Approach of Intrusion Detection System for IoT Against Modern Attacks Using Deep Learning;Lecture Notes in Networks and Systems;2024

4. Prediction of middle box-based attacks in Internet of Healthcare Things using ranking subsets and convolutional neural network;Wireless Networks;2023-12-15

5. MRI-Based Effective Ensemble Frameworks for Predicting Human Brain Tumor;Journal of Imaging;2023-08-16

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