The HTTP Content Segmentation Method Combined with AdaBoost Classifier for Web-Layer Anomaly Detection System

• Rafal Kozik ^[1] ; Michal Choraś ^[1]
  1. [1] University of Technology and Life Sciences in Bydgoszcz

     University of Technology and Life Sciences in Bydgoszcz

     Bydgoszcz, Polonia

     
• Localización: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings / coord. por Manuel Graña Romay, José Manuel López Guede, Oier Etxaniz, Álvaro Herrero Cosío, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, 2017, ISBN 978-3-319-47364-2, págs. 555-563
• Idioma: inglés
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• Resumen

  • 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.