Anomaly-based Techniques for Web Attacks Detection

Bruno Augusti Mozzaquatro, Renato Preigschadt de Azevedo, Raul Ceretta Nunes, Alice de Jesus Kozakevicius, Cristian Cappo, Christian Schaerer

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.


Full Text: PDF



ISSN: 2236-8434 - Best viewed in Mozilla Firefox

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License. [updated on August 2016]

São Leopoldo, RS. Av. Unisinos, 950. Bairro Cristo Rei, CEP: 93.022-750. Atendimento Unisinos +55 (51) 3591 1122

Designed by Jully Rodrigues

In 2014, vol. 4, issue 2 was not published. No issues were published in 2015.




Crossref Member Badge Crossref Similarity Check logo