Activation functions for deep learning: an application for rare attack detection in wireless local area network (WLAN)-Reference-Cited by-同舟云学术

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Activation functions for deep learning: an application for rare attack detection in wireless local area network (WLAN)

Published:2023-02-19 Issue: Volume: Page:
ISSN:
Container-title:2023 25th International Conference on Advanced Communication Technology (ICACT)
language:
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Author:

Vu Viet-Thang¹,Thi Thanh Quyen Bui²,Gan Hong-Seng³,Vu Viet-Vu⁴,Quang Do Manh¹,Duc Vu Thanh⁵,Pham Dinh-Lam⁴

Affiliation:

1. Hanoi University of Industry,Faculty of Information Technology,Vietnam

2. Vietnam Academy of Science and Technology,Institute of Information Technology,Vietnam

3. Xi'an Jiaotong - Liverpool University,School of AI and Advanced Computing, XJTLU Entrepreneur College (Taicang),Suzhou,P. R. China,215400

4. Vietnam National University,VNU Information Technology Institute,Hanoi,Vietnam

5. Ha Noi University of Industry,Information Technology Center,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079232/10079243/10079326.pdf?arnumber=10079326

Reference22 articles.

1. Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine

2. A hybrid machine learning method for increasing the performance of network intrusion detection systems

3. On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems

4. CANN: An intrusion detection system based on combining cluster centers and nearest neighbors;chao;Knowledge Based System,2015

5. A Deep Learning Approach to Network Intrusion Detection

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