A novel rule generator for intrusion detection based on frequent subgraph mining

ABSTRACT: The current development of technologies has boosted the use of telecommunication services. This fact brings an increase in the volumes of data generated in telecommunication companies. Such data need to be processed in order to detect potential intruders or fraud. The rule evaluation techn...

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Autores principales:	Herrera-Semenets,Vitali, Gago-Alonso,Andres
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2017
Materias:	Automatic rule generation frequent subgraph mining intrusion detection
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052017000200226
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spelling	oai:scielo:S0718-330520170002002262017-06-19A novel rule generator for intrusion detection based on frequent subgraph miningHerrera-Semenets,VitaliGago-Alonso,Andres Automatic rule generation frequent subgraph mining intrusion detection ABSTRACT: The current development of technologies has boosted the use of telecommunication services. This fact brings an increase in the volumes of data generated in telecommunication companies. Such data need to be processed in order to detect potential intruders or fraud. The rule evaluation techniques are widely used in these application contexts due to their high effectiveness over known attacks. The incorporation of an automatic rule generator allows it to obtain rules in large volumes of data, for assisting information analysts; thus, the accuracy of intrusion detection is increased. In this paper, an automatic rule generation method is presented, including a strategy based on processing the patterns extracted from a training set and building classification rules. Finally, our proposal is evaluated and compared regarding other classifiers, achieving good results.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.25 n.2 20172017-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052017000200226en10.4067/S0718-33052017000200226
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Automatic rule generation frequent subgraph mining intrusion detection
spellingShingle	Automatic rule generation frequent subgraph mining intrusion detection Herrera-Semenets,Vitali Gago-Alonso,Andres A novel rule generator for intrusion detection based on frequent subgraph mining
description	ABSTRACT: The current development of technologies has boosted the use of telecommunication services. This fact brings an increase in the volumes of data generated in telecommunication companies. Such data need to be processed in order to detect potential intruders or fraud. The rule evaluation techniques are widely used in these application contexts due to their high effectiveness over known attacks. The incorporation of an automatic rule generator allows it to obtain rules in large volumes of data, for assisting information analysts; thus, the accuracy of intrusion detection is increased. In this paper, an automatic rule generation method is presented, including a strategy based on processing the patterns extracted from a training set and building classification rules. Finally, our proposal is evaluated and compared regarding other classifiers, achieving good results.
author	Herrera-Semenets,Vitali Gago-Alonso,Andres
author_facet	Herrera-Semenets,Vitali Gago-Alonso,Andres
author_sort	Herrera-Semenets,Vitali
title	A novel rule generator for intrusion detection based on frequent subgraph mining
title_short	A novel rule generator for intrusion detection based on frequent subgraph mining
title_full	A novel rule generator for intrusion detection based on frequent subgraph mining
title_fullStr	A novel rule generator for intrusion detection based on frequent subgraph mining
title_full_unstemmed	A novel rule generator for intrusion detection based on frequent subgraph mining
title_sort	novel rule generator for intrusion detection based on frequent subgraph mining
publisher	Universidad de Tarapacá.
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052017000200226
work_keys_str_mv	AT herrerasemenetsvitali anovelrulegeneratorforintrusiondetectionbasedonfrequentsubgraphmining AT gagoalonsoandres anovelrulegeneratorforintrusiondetectionbasedonfrequentsubgraphmining AT herrerasemenetsvitali novelrulegeneratorforintrusiondetectionbasedonfrequentsubgraphmining AT gagoalonsoandres novelrulegeneratorforintrusiondetectionbasedonfrequentsubgraphmining
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A novel rule generator for intrusion detection based on frequent subgraph mining

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