Extracting classification rules from an informatic security incidents repository by genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Montealegre:2015:Tecnura,
  author =       "Carvajal Montealegre and Carlos Javier",
  title =        "Extracting classification rules from an informatic
                 security incidents repository by genetic programming",
  journal =      "Tecnura: Tecnolog{\'i}a y Cultura Afirmando el
                 Conocimiento",
  year =         "2015",
  number =       "44",
  volume =       "19",
  pages =        "109--120",
  note =         "in Spanish",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0123-921X",
  bibsource =    "OAI-PMH server at dialnet.unirioja.es",
  language =     "Spanish",
  oai =          "oai:dialnet.unirioja.es:ART0000760905",
  URL =          "http://dialnet.unirioja.es/servlet/oaiart?codigo=5024543",
  URL =          "https://dialnet.unirioja.es/descarga/articulo/5024543.pdf",
  size =         "12 pages",
  abstract =     "En este art{\'i}culo se describe la obtenci{\'o}n de
                 reglas de clasificaci{\'o}n sobre una colecci{\'o}n de
                 datos de incidentes de seguridad informatica en un
                 proceso de miner{\'i}a de datos, detallando el uso de
                 la programaci{\'o}n gen{\'e}tica como un medio para
                 modelar el comportamiento de los incidentes y
                 representar las reglas en arboles de decisi{\'o}n. El
                 proceso de extracci{\'o}n descrito incluye varios
                 puntos, como la evaluaci{\'o}n del enfoque de
                 programaci{\'o}n gen{\'e}tica, la forma de representar
                 a los individuos y la afinaci{\'o}n de los parametros
                 del algoritmo para elevar el rendimiento. Se concluye
                 con un analisis de los resultados y la descripci{\'o}n
                 de las reglas obtenidas, considerando las posibles
                 soluciones para minimizar la ocurrencia de los ataques
                 informaticos. El art{\'i}culo se basa en una parte de
                 la tesis de grado Analisis de Incidentes de Seguridad
                 Informatica Mediante Miner{\'i}a de Datos, para
                 Modelado de Comportamiento y Reconocimiento de Patrones
                 (Carvajal, 2012).",
  abstract =     "This paper describes the data mining process to obtain
                 classification rules over an information security
                 incident data collection, explaining in detail the use
                 of genetic programming as a mean to model the incidents
                 behaviour and representing such rules as decision
                 trees. The described mining process includes several
                 tasks, such as the GP (Genetic Programming) approach
                 evaluation, the individual's representation and the
                 algorithm parameters tuning to upgrade the performance.
                 The paper concludes with the result analysis and the
                 description of the rules obtained, suggesting measures
                 to avoid the occurrence of new informatics attacks.
                 This paper is a part of the thesis work degree:
                 Information Security Incident Analytics by Data Mining
                 for Behavioral Modeling and Pattern Recognition
                 (Carvajal, 2012).;",
}

Genetic Programming entries for Carvajal Montealegre Carlos Javier

Citations