• DocumentCode
    169887
  • Title

    Overview of Enterprise Information Needs in Information Security Risk Assessment

  • Author

    Korman, Matus ; Sommestad, Teodor ; Hallberg, Jonas ; Bengtsson, Johan ; Ekstedt, Mathias

  • Author_Institution
    R. Inst. of Technol. (KTH), Stockholm, Sweden
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    42
  • Lastpage
    51
  • Abstract
    Methods for risk assessment in information security suggest users to collect and consider sets of input information, often notably different, both in type and size. To explore these differences, this study compares twelve established methods on how their input suggestions map to the concepts of ArchiMate, a widely used modeling language for enterprise architecture. Hereby, the study also tests the extent, to which ArchiMate accommodates the information suggested by the methods (e.g., for the use of ArchiMate models as a source of information for risk assessment). Results of this study show how the methods differ in suggesting input information in quantity, as well as in the coverage of the ArchiMate structure. Although the translation between ArchiMate and the methods´ input suggestions is not perfect, our results indicate that ArchiMate is capable of modeling fair portions of the information needed for the methods for information security risk assessment, which makes ArchiMate models a promising source of guidance for performing risk assessments.
  • Keywords
    risk management; security of data; ArchiMate concepts; ArchiMate structure; enterprise architecture; enterprise information; information security risk assessment; risk assessment methods; Computer architecture; ISO standards; Information security; NIST; Risk management; ArchiMate; enterprise architecture; enterprise information needs; information security; risk assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference (EDOC), 2014 IEEE 18th International
  • Conference_Location
    Ulm
  • ISSN
    1541-7719
  • Type

    conf

  • DOI
    10.1109/EDOC.2014.16
  • Filename
    6972049