Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis.
Xixuan Yang|Xin Huang|Chiming Duan|Tong Jia|Shandong Dong|Ying Li|Gang Huang
| Anthology ID: | DBLP:conf/www/YangHDJD0025 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 548-556 |
| URL: | https://doi.org/10.1145/3701716.3715221 |
| DOI: | https://doi.org/10.1145/3701716.3715221 |
| DBLP: | conf/www/YangHDJD0025 |
| BibTeX: |
@inproceedings{yang-2025-enhancing,
author = {Xixuan Yang and
Xin Huang and
Chiming Duan and
Tong Jia and
Shandong Dong and
Ying Li and
Gang Huang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {548--556},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715221},
doi = {https://doi.org/10.1145/3701716.3715221}
}