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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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