Anomaly-based Techniques for Web Attacks Detection

Authors

  • Bruno Augusti Mozzaquatro Universidade Federal de Santa Maria.
  • Renato Preigschadt de Azevedo Universidade Federal de Santa Maria.
  • Raul Ceretta Nunes Universidade Federal de Santa Maria.
  • Alice de Jesus Kozakevicius Universidade Federal de Santa Maria.
  • Cristian Cappo National University of Asuncion
  • Christian Schaerer National University of Asuncion

DOI:

https://doi.org/10.4013/jacr.2011.12.06

Abstract

The widespread use of the Internet comes accompanied with severe threats for web applications security. Intrusion Detection Systems (IDS) have been considered to deal with the diversity and complexity of web attacks. In this context, this work proposes an algorithm for web attack detection, exploring ananomaly-based technique: the wavelet transform. The proposed algorithm analyzes anomalies within variations on characters frequencies in web requests. Experimental results show high rates of detection without false positive occurrences.

Keywords: Web Attacks, Anomaly Detection, Wavelet Transform, Web Applications.

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Published

2011-12-20

Issue

Vol. 1 No. 2 (2011): Jul-Dec

Section

Articles

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