An ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence

Cross-site scripting (XSS) attack is one of the most dangerous attacks for web security. Traditional XSS detection methods mainly focus on the vulnerability itself, relying on static analysis and dynamic analysis, which appear weak in defending the flood of various kinds of payloads. In this paper,...

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Veröffentlicht in:	Computers & security 2019-05, Vol.82, p.261-269
Hauptverfasser:	Zhou, Yun, Wang, Peichao
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Cybersecurity End users Ensemble learning Intelligence gathering Machine learning Payloads Threat evaluation Vulnerability
Online-Zugang:	Volltext
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