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Memorias de investigación
Communications at congresses:
An Ecological Approach to Anomaly Detection: The EIA Model
Year:2012
Research Areas
  • Electronic technology and of the communications
Information
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.
International
Si
Congress
ICARIS 2012. Artificial Immune Systems
960
Place
Taormina (Italia)
Reviewers
Si
ISBN/ISSN
0302-9743
http://dx.doi.org/10.1007/978-3-642-33757-4_18
Start Date
28/08/2012
End Date
31/08/2012
From page
232
To page
245
ICARIS 2012. Artificial Immune Systems. Lecture Notes in Computer Science Volume 7597
Participants
  • Autor: Pedro Pinacho (Universidad Santo Tomás, Concepción (Chile))
  • Autor: Ivan Pau De la Cruz (UPM)
  • Autor: Max Chacón (Universidad de Santiago (Chile))
  • Autor: Sergio Sanchez Garcia (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Sistemas Telemáticos para la Sociedad de la Información y el conocimiento
  • Departamento: Ingeniería y Arquitecturas Telemáticas
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