Intelligent Intrusion Detection Using Radial Basis Function Neural Network-Reference-Cited by-同舟云学术

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Intelligent Intrusion Detection Using Radial Basis Function Neural Network

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 Sixth International Conference on Software Defined Systems (SDS)
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Author:

AbuGhazleh Alia,Almiani Muder,Magableh Basel,Razaque Abdul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8764267/8768486/08768575.pdf?arnumber=8768575

Cited by 6 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. Radial Basis Function Neural Networks (RBFNN) for Secure Intrusion Detection in the Internet of Drones (IoD);Proceedings of the Bulgarian Academy of Sciences;2024-08-29

2. A Brief Review of Unsupervised Learning Algorithms for Zero-Day Attacks in Intrusion Detection Systems;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13

3. Enhancing Network Security For Kr00k Attack Detection Using Binary Grasshopper Optimization (BGO);2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

4. DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network;International Journal of Machine Learning and Cybernetics;2021-04-17

5. Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning;IEEE Access;2021

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