Improving the Detection Rate of Rarely Appearing Intrusions in Network-Based Intrusion Detection Systems-Reference-Cited by-同舟云学术

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Improving the Detection Rate of Rarely Appearing Intrusions in Network-Based Intrusion Detection Systems

Published:2021 Issue:2 Volume:66 Page:1647-1663
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Yang Eunmok,Prasad Joshi Gyanendra,Seo Changho

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modelling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v66n2/40664/pdf

Cited by 11 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. Research on Method of Temperature Detection for Running Parts of Subway;Lecture Notes in Electrical Engineering;2024

2. Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection;EURASIP Journal on Wireless Communications and Networking;2023-07-26

3. Enhancing privacy‐preserving mechanisms in Cloud storage: A novel conceptual framework;Concurrency and Computation: Practice and Experience;2023-06-22

4. Fusion of Transformer and ML-CNN-BiLSTM for Network Intrusion Detection;2023-06-19

5. Activation functions for deep learning: an application for rare attack detection in wireless local area network (WLAN);2023 25th International Conference on Advanced Communication Technology (ICACT);2023-02-19

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