A Data Enhancement Model for Intrusion Detection In Smart Home-Reference-Cited by-同舟云学术

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A Data Enhancement Model for Intrusion Detection In Smart Home

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
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Author:

Yang Tao¹,Wang JunXiang²,Deng HongLi¹,Li MingYang²

Affiliation:

1. China West Normal University,Education and Information Technology Center,Nanchong,China

2. School of Electronic Information Engineering, China West Normal University,Nanchong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164835/10164844/10166936.pdf?arnumber=10166936

Reference10 articles.

1. Filter-GAN: Imbalanced Malicious Traffic Classification Based on Generative Adversarial Networks with Filter

2. Smart Home Research Themes: An Analysis and Taxonomy

3. Feature Selection and Feature Stability Measurement Method for High-Dimensional Small Sample Data Based on Big Data Technology

4. Comparative research on network intrusion detection methods based on machine learning

5. A New Intrusion Detection System Based on Fast Learning Network and Particle Swarm Optimization

Cited by 1 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. Theoretical Framework for Integrating IoT and Explainable AI in a Smart Home Intrusion Detection System;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

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