Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning.
William Melicher|Clement Fung|Lujo Bauer|Limin Jia
| Anthology ID: | DBLP:conf/www/MelicherFB021 |
|---|---|
| Volume: | WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. |
| Year: | 2021 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM / IW3C2 |
| Pages: | 2684-2695 |
| URL: | https://doi.org/10.1145/3442381.3450062 |
| DOI: | https://doi.org/10.1145/3442381.3450062 |
| DBLP: | conf/www/MelicherFB021 |
| BibTeX: |
@inproceedings{melicher-2021-towards,
author = {William Melicher and
Clement Fung and
Lujo Bauer and
Limin Jia},
editor = {Jure Leskovec and
Marko Grobelnik and
Marc Najork and
Jie Tang and
Leila Zia},
title = {{Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning}},
booktitle = {{WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021}},
pages = {2684--2695},
publisher = {ACM / IW3C2},
year = {2021},
url = {https://doi.org/10.1145/3442381.3450062},
doi = {https://doi.org/10.1145/3442381.3450062}
}