DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection
- DOI
- 10.1007/978-3-030-30709-7_32
- Published
- 2019
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-30709-7_32,
title = {DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection},
author = {Shujian Ji and Tongzheng Sun and Kejiang Ye and Wenbo Wang and Cheng-Zhong Xu},
year = {2019},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-30709-7_32},
url = {https://doi.org/10.1007/978-3-030-30709-7_32}
}RIS
TY - JOUR TI - DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection AU - Shujian Ji AU - Tongzheng Sun AU - Kejiang Ye AU - Wenbo Wang AU - Cheng-Zhong Xu PY - 2019 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-30709-7_32 UR - https://doi.org/10.1007/978-3-030-30709-7_32 ER -
APA
Ji, S., Sun, T., Ye, K., Wang, W., & Xu, C. (2019). DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-30709-7_32
Source records
- crossref · retrieved 2026-09-26T03:33:20.859Z