Digital Library
Search Results: [ keyword: data augmentation ] (7)
1.
An Effective Anomaly Detection Approach based on Hybrid Unsupervised Learning Technologies in NIDS
Hung-Cuong Trinh,
Van-Huy Pham,
Anh H. Vo,
Vol. 17, No. 12, December 31, 2023
10.3837/tiis.2023.12.002
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Shiyu Liu,
Hongyan Qiao,
Lianhong Yuan,
Yuan Yuan,
Jun Liu,
Vol. 17, No. 6, June 30, 2023
10.3837/tiis.2023.06.002
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Dongyao Zou,
Guohao Sun,
Zhigang Li,
Guangyong Xi,
Liping Wang,
Vol. 16, No. 8, August 31, 2022
10.3837/tiis.2022.08.009
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Jaewoong Moon,
Subin Kim,
Jaeseung Song,
Kyungshin Kim,
Vol. 15, No. 12, December 31, 2021
10.3837/tiis.2021.12.003
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Mingu Kang,
HyeungKyeom Kim,
Suchul Lee,
Seokmin Han,
Vol. 15, No. 11, November 30, 2021
10.3837/tiis.2021.11.013
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)