Design and comparison of two rule-based fuzzy classifiers for computer security.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00209696" target="_blank" >RIV/68407700:21230/13:00209696 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985807:_____/13:00396833

Výsledek na webu

<a href="http://hdl.handle.net/11104/0224522" target="_blank" >http://hdl.handle.net/11104/0224522</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Design and comparison of two rule-based fuzzy classifiers for computer security.

Popis výsledku v původním jazyce

This paper describes the design and comparison of two rule based fuzzy classifiers, which are subsequently enhanced with respect to comprehensibility. The first approach is based on random forests. The second is a specific kind of a fuzzy decision tree which is built on information granules extracted from results of a fuzzy clustering algorithm. Membership functions of fuzzy sets are fitted to the outputs of these two tree based classifiers. This gives us logical rules, which have a better comprehensibility. These two approaches are compared to each other and with a support vector machine classifier as a representative of precise classifiers. The comparison is performed on data concerning network security.

Název v anglickém jazyce

Design and comparison of two rule-based fuzzy classifiers for computer security.

Popis výsledku anglicky

This paper describes the design and comparison of two rule based fuzzy classifiers, which are subsequently enhanced with respect to comprehensibility. The first approach is based on random forests. The second is a specific kind of a fuzzy decision tree which is built on information granules extracted from results of a fuzzy clustering algorithm. Membership functions of fuzzy sets are fitted to the outputs of these two tree based classifiers. This gives us logical rules, which have a better comprehensibility. These two approaches are compared to each other and with a support vector machine classifier as a representative of precise classifiers. The comparison is performed on data concerning network security.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-17187S" target="_blank" >GA13-17187S: Konstrukce pokročilých srozumitelných klasifikátorů</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ITAT 2013: Information Technologies?Applications and Theory Workshops, Posters, and Tutorials

ISBN

9781490952086

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

92-99

Název nakladatele

CreateSpace Independent Publishing Platform

Místo vydání

Luxemburg

Místo konání akce

Donovaly

Datum konání akce

11. 9. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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