Modeling cloud computing risk assessment using ensemble methods
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Modeling cloud computing risk assessment using ensemble methods
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 355
ISBN
978-3-319-17397-9
ISSN
2194-5357
e-ISSN
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Number of pages
14
Pages from-to
261-274
Publisher name
Springer
Place of publication
Heidelberg
Event location
Melaka
Event date
Dec 8, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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