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Automated architecture modeling for enterprise technology manageme using principles from data fusion: A security analysis case
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0003-1464-6163
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0001-7386-7471
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0003-3089-3885
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2017 (English)In: PICMET 2016 - Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2017, 14-22 p.Conference paper, Published paper (Refereed)
Abstract [en]

Architecture models are used in enterprise management for decision support. These decisions range from designing processes to planning for the appropriate supporting technology. It is unreasonable for an existing enterprise to completely reinvent itself. Incremental changes are in most cases a more resource efficient tactic. Thus, for planning organizational changes, models of the current practices and systems need to be created. For mid-sized to large organizations this can be an enormous task when executed manually. Fortunately, there's a lot of data available from different sources within an enterprise that can be used for populating such models. The data are however almost always heterogeneous and usually only representing fragmented views of certain aspects. In order to merge such data and obtaining a unified view of the enterprise a suitable methodology is needed. In this paper we address this problem of creating enterprise architecture models from heterogeneous data. The paper proposes a novel approach that combines methods from the fields of data fusion and data warehousing. The approach is tested using a modeling language focusing on cyber security analysis in a study of a lab setup mirroring a small power utility's IT environment.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2017. 14-22 p.
Keyword [en]
Data fusion, Data warehouses, Decision support systems, Security systems, Architecture modeling, Architecture models, Enterprise Architecture, Enterprise management, Enterprise technology, Large organizations, Organizational change, Supporting technology, Modeling languages
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-207377DOI: 10.1109/PICMET.2016.7806662Scopus ID: 2-s2.0-85016195766ISBN: 9781509035953 (print)OAI: oai:DiVA.org:kth-207377DiVA: diva2:1107570
Conference
2016 Portland International Conference on Management of Engineering and Technology, PICMET 2016, 4 September 2016 through 8 September 2016
Note

QC 20170609

Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-06-09Bibliographically approved

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Välja, MargusKorman, MatusLagerström, RobertEkstedt, Mathias

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