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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • 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