Resumen de The HTTP Content Segmentation Method Combined with AdaBoost Classifier for Web-Layer Anomaly Detection System
In this paper we propose modifications to our machine-learning web-layer anomaly detection system that adapts HTTP content mechanism. Particularly we introduce more effective packet segmentation mechanism, adapt AdaBoost classifier, and present results on more challenging dataset. In this paper we also compared our approach with other techniques and reported the results of our experiments.
