Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model
Web applications popularity has raised attention in various service domains, which increased the concern about cyber-attacks. One of these most serious and frequent web application attacks is a Cross-site scripting attack (XSS). It causes grievous harm to victims. Existing security methods against X...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/107421/1/107421.pdf |