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Hierarchical Context Representation and Self-Adaptive Thresholding for Multivariate Anomaly Detection

  • Published:2024-07 Issue:7 Volume:36 Page:3139-3150
  • ISSN:1041-4347
  • Container-title:IEEE Transactions on Knowledge and Data Engineering
  • language:
  • Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Lin Chunming1ORCID,Du Bowen1ORCID,Sun Leilei1ORCID,Li Linchao2ORCID

Affiliation:

1. State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China

2. National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Shenzhen), Shenzhen University, Shenzhen, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Shenzhen Science and Technology Program

CCCC Science and Technology R&D Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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. FedAnom: Strengthening Cloud Network Security with Federated Anomaly Detection;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning;Big Data and Cognitive Computing;2024-02-22
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