Detection of Server-side Web Attacks

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.

Cite this Paper


BibTeX
@InProceedings{pmlr-v11-corona10a, title = {Detection of Server-side Web Attacks}, author = {Igino Corona and Giorgio Giacinto}, pages = {160--166}, year = {2010}, editor = {Tom Diethe and Nello Cristianini and John Shawe-Taylor}, volume = {11}, series = {Proceedings of Machine Learning Research}, address = {Cumberland Lodge, Windsor, UK}, month = {01--03 Sep}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v11/corona10a/corona10a.pdf}, url = {http://proceedings.mlr.press/v11/corona10a.html}, 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.} }
Endnote
%0 Conference Paper %T Detection of Server-side Web Attacks %A Igino Corona %A Giorgio Giacinto %B Proceedings of the First Workshop on Applications of Pattern Analysis %C Proceedings of Machine Learning Research %D 2010 %E Tom Diethe %E Nello Cristianini %E John Shawe-Taylor %F pmlr-v11-corona10a %I PMLR %J Proceedings of Machine Learning Research %P 160--166 %U http://proceedings.mlr.press %V 11 %W PMLR %X 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.
RIS
TY - CPAPER TI - Detection of Server-side Web Attacks AU - Igino Corona AU - Giorgio Giacinto BT - Proceedings of the First Workshop on Applications of Pattern Analysis PY - 2010/09/30 DA - 2010/09/30 ED - Tom Diethe ED - Nello Cristianini ED - John Shawe-Taylor ID - pmlr-v11-corona10a PB - PMLR SP - 160 DP - PMLR EP - 166 L1 - http://proceedings.mlr.press/v11/corona10a/corona10a.pdf UR - http://proceedings.mlr.press/v11/corona10a.html AB - 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. ER -
APA
Corona, I. & Giacinto, G.. (2010). Detection of Server-side Web Attacks. Proceedings of the First Workshop on Applications of Pattern Analysis, in PMLR 11:160-166

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