Anomaly Detection Based on Deep Learning: Insights and Opportunities-Reference-Cited by-同舟云学术

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Anomaly Detection Based on Deep Learning: Insights and Opportunities

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud)/2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom)
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Author:

Zhang Huan¹,Xie Rui¹,Li Kuanching¹,Huang Weihong¹,Yang Chaoyi¹,Liu Jingnian¹

Affiliation:

1. Hunan University of Science and Technology,School of Computer Science and Engineering,Xiangtan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10195194/10195273/10195601.pdf?arnumber=10195601

Reference51 articles.

1. Human Action Monitoring for Healthcare Based on Deep Learning

2. Multi-range bidirectional mask graph convolution based GRU networks for traffic prediction

3. Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities

4. Securing social platform from misinformation using deep learning

5. A novel spatial-temporal multi-scale alignment graph neural network security model for vehicles prediction;diao;IEEE Transactions on Intelligent Transportation Systems,2022

Cited by 2 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. A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning;Computers & Security;2024-01

2. Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization, Security and Privacy in 6G Networks;IEEE Access;2024

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