VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System

Luis Marti (1) , Arsene Fansi-Tchango (2) , Laurent Navarro (2) , Marc Schoenauer (3, 1)

1 TAO - Machine Learning and Optimisation
2 TRT - Thales Research and Technologies [Orsay]
3 LRI - Laboratoire de Recherche en Informatique

This paper introduces the Voronoi diagram-based Artificial Immune System (VorAIS). VorAIS models the self/non-self using a Voronoi diagram that determines which areas of the problem domain correspond to self or to non-self. The diagram is evolved using a multi-objective bio-inspired approach in order to conjointly optimize various classification metrics (accuracy, recall and specificity). VorAIS is experimentally validated, first on standard classification problems , then on the well-known NSL-KDD dataset for anomaly detection where it favorably compares with other AIS approaches .

Mots clés: Artificial Immune Systems; Anomaly Detection; Voronoi Diagrams

Domaines: Intelligence artificielle [cs.AI]

Luis Marti, Arsene Fansi-Tchango, Laurent Navarro, Marc Schoenauer. VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System . T. Friedrich and F. Neumann. Genetic and Evolutionary Computation Conference, GECCO 2016, Jul 2016, Denver, United States. pp.11 - 12, 2016, Poster at GECCO 2016 (Companion). ⟨10.1145/2908961.2909027⟩. ⟨hal-01400263⟩