Modeling cloud computing risk assessment using ensemble methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86097022" target="_blank" >RIV/61989100:27240/15:86097022 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-17398-6_24" target="_blank" >http://dx.doi.org/10.1007/978-3-319-17398-6_24</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-17398-6_24" target="_blank" >10.1007/978-3-319-17398-6_24</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modeling cloud computing risk assessment using ensemble methods

Popis výsledku v původním jazyce

Risk Assessment is a common practice in the information system security domain, besides that it is a useful tool to assess risk exposure and drive management decisions. Cloud computing has been an emerging computing model in the IT field. It provides computing resources as general utilities that can be leased and released by users in an on-demand fashion. It is about growing interest in many companies around the globe, but adopting cloud computing comes with greater risks, which need to be assessed. Themain target of risk assessment is to define appropriate controls for reducing or eliminating those risks. The goal of this paper was to use an ensemble technique to increase the predictive performance. The main idea of using ensembles is that the combination of predictors can lead to an improvement of a risk assessment model in terms of better generalization and/or in terms of increased efficiency. We conducted a survey and formulated different associated risk factors to simulate the da

Název v anglickém jazyce

Modeling cloud computing risk assessment using ensemble methods

Popis výsledku anglicky

Risk Assessment is a common practice in the information system security domain, besides that it is a useful tool to assess risk exposure and drive management decisions. Cloud computing has been an emerging computing model in the IT field. It provides computing resources as general utilities that can be leased and released by users in an on-demand fashion. It is about growing interest in many companies around the globe, but adopting cloud computing comes with greater risks, which need to be assessed. Themain target of risk assessment is to define appropriate controls for reducing or eliminating those risks. The goal of this paper was to use an ensemble technique to increase the predictive performance. The main idea of using ensembles is that the combination of predictors can lead to an improvement of a risk assessment model in terms of better generalization and/or in terms of increased efficiency. We conducted a survey and formulated different associated risk factors to simulate the da

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 355

ISBN

978-3-319-17397-9

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

14

Strana od-do

261-274

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Melaka

Datum konání akce

8. 12. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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