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Levels of data categorization in cloud computing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F14%3A00229659" target="_blank" >RIV/62156489:43110/14:00229659 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Levels of data categorization in cloud computing

  • Original language description

    Cloud computing is a permanent phenomenon in information technology. This trend is fraught with the risk -- cloud as storage as a service. When you using cloud as a primary data storage, you need higher the data security. Data are the most sensitive element of the company. Data security uses rules of data categorization. This article describes the main means of data categorization. Nowadays, you can use two ways -- according to Winkler or according to Microsoft. These data categorizations are currentlythe most frequently, but categorizations don't use main parameters for data security in the analysis. The aim of this article is describe through security parameters -- data type and data structure. The proposed method of data categorization shows the main procedures for data processing. We specify this data categorization through UML -- a sequence diagram. This sequence shows communication between the data owner and the data categorization. Results of research are processed and tested o

  • 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

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Sborník příspěvků z mezinárodní vědecké konference MMK 2014: Mezinárodní Masarykova konference pro doktorandy a mladé vědecké pracovníky.

  • ISBN

    978-80-87952-07-8

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    3243-3252

  • Publisher name

    MAGNANIMITAS

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article