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Automatic Design of Secure Enterprise Architecture
KTH, School of Electrical Engineering (EES), Network and Systems engineering.ORCID iD: 0000-0003-3089-3885
KTH, School of Electrical Engineering (EES), Network and Systems engineering.ORCID iD: 0000-0002-3293-1681
KTH, School of Electrical Engineering (EES), Network and Systems engineering.ORCID iD: 0000-0003-3922-9606
2017 (English)In: PROCEEDINGS OF THE 2017 IEEE 21ST INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE WORKSHOPS AND DEMONSTRATIONS (EDOCW 2017) / [ed] Halle, S Dijkman, R Lapalme, J, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 65-70Conference paper, Published paper (Refereed)
Abstract [en]

Architecture models mainly have three functions; 1) document, 2) analyze, and 3) improve the system under consideration. All three functions have suffered from being time-consuming and expensive, mainly due to being manual processes in need of hard to find expertise. Recent work has however automated both the data collection and the analysis. In order for enterprise architecture modeling to finally become free of manual labor the design function also needs to be automated. In this position paper we propose the Automatic Designer. A solution that employs machine learning techniques to realize the design of (near) optimal architecture solutions. This particular implementation is focused on security analysis, but could easily be extended to other topics.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 65-70
Series
IEEE International Enterprise Distributed Object Computing Conference Workshops-EDOCW, ISSN 2325-6583
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-220665DOI: 10.1109/EDOCW.2017.19ISI: 000417417800011Scopus ID: 2-s2.0-85043595735ISBN: 978-1-5386-1568-3 (print)OAI: oai:DiVA.org:kth-220665DiVA, id: diva2:1169682
Conference
21st IEEE International Enterprise Distributed Object Computing Conference (EDOC), OCT 10-13, 2017, Quebec City, CANADA
Note

QC 20171229

Available from: 2017-12-29 Created: 2017-12-29 Last updated: 2018-03-27Bibliographically approved

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Lagerström, RobertJohnson, PontusEkstedt, Mathias

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