Data Mining Methods for Anomaly Detection of HTTP Request Exploitations

HTTP request exploitations take substantial portion of network-based attacks. This paper presents a novel anomaly detection framework, which uses data mining technologies to build four independent detection models. In the training phase, these models mine specialty of every web program using web ser...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wang, Xiao-Feng, Zhou, Jing-Li, Yu, Sheng-Sheng, Cai, Long-Zheng
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Anomaly Detection Attribute Instance Attribute List Data Mining Method Query Attribute
Online-Zugang:	Volltext
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