Detection of Server-side Web Attacks

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Igino Corona, Giorgio Giacinto ;
Proceedings of the First Workshop on Applications of Pattern Analysis, PMLR 11:160-166, 2010.

Abstract

Web servers and server-side applications constitute the key components of modern Internet services. We present a pattern recognition system to the detection of intrusion attempts that target such components. Our system is anomaly-based, i.e., we model the normal (legitimate) traffic and intrusion attempts are identified as anomalous traffic. In order to address the presence of attacks (noise) inside the training set we employ an ad-hoc outlier detection technique. This approach does not require supervision and allows us to accurately detect both known and unknown attacks against web services.

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