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A Modular Architecture for the Analysis of HTTP Payloads Based on Multiple Classifiers

  • Davide Ariu
  • Giorgio Giacinto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6713)

Abstract

In this paper we propose an Intrusion Detection System (IDS) for the detection of attacks against a web server. The system analyzes the requests received by a web server, and is based on a two-stages classification algorithm that heavily relies on the MCS paradigm. In the first stage the structure of the HTTP requests is modeled using several ensembles of Hidden Markov Models. Then, the outputs of these ensembles are combined using a one-class classification algorithm. We evaluated the system on several datasets of real traffic and real attacks. Experimental results, and comparisons with state-of.the.art detection systems show the effectiveness of the proposed approach.

Keywords

Anomaly Detection IDS HMM Payload Analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Davide Ariu
    • 1
  • Giorgio Giacinto
    • 1
  1. 1.Department of Electrical and Electronic EngineeringUniversity of CagliariItaly

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