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} }