An ecological approach to anomaly detection: the EIA Model.

Pau de la Cruz, Iván and Sánchez García, Sergio and Pinacho, Pedro and Chacón, Max (2012). An ecological approach to anomaly detection: the EIA Model.. In: "ICARIS 2012, 11th International Conference on Artificial Immune Systems", 28/08/2012 - 31/08/2012, Taormina (Italia). ISBN 978-3-642-33756-7. pp. 232-245. https://doi.org/10.1007/978-3-642-33757-4_18.

Description

Title: An ecological approach to anomaly detection: the EIA Model.
Author/s:
  • Pau de la Cruz, Iván
  • Sánchez García, Sergio
  • Pinacho, Pedro
  • Chacón, Max
Item Type: Presentation at Congress or Conference (Article)
Event Title: ICARIS 2012, 11th International Conference on Artificial Immune Systems
Event Dates: 28/08/2012 - 31/08/2012
Event Location: Taormina (Italia)
Title of Book: Proceedings of 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012
Date: 2012
ISBN: 978-3-642-33756-7
Volume: Lectur
Subjects:
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Ingeniería y Arquitecturas Telemáticas [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The presented work proposes a new approach for anomaly detection. This approach is based on changes in a population of evolving agents under stress. If conditions are appropriate, changes in the population (modeled by the bioindicators) are representative of the alterations to the environment. This approach, based on an ecological view, improves functionally traditional approaches to the detection of anomalies. To verify this assertion, experiments based on Network Intrussion Detection Systems are presented. The results are compared with the behaviour of other bioinspired approaches and machine learning techniques.

More information

Item ID: 19767
DC Identifier: http://oa.upm.es/19767/
OAI Identifier: oai:oa.upm.es:19767
DOI: 10.1007/978-3-642-33757-4_18
Official URL: http://www.artificial-immune-systems.org/icaris/2012/
Deposited by: Memoria Investigacion
Deposited on: 25 Mar 2014 17:39
Last Modified: 21 Apr 2016 21:08
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