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In-Depth Modeling of the UNIX Operating System for Architectural Cyber Security Analysis
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0002-2113-4900
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
KTH, School of Electrical Engineering (EES), Network and Systems engineering. (Software Systems Architecture & Security)ORCID iD: 0000-0003-3089-3885
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. 127-136Conference paper, Published paper (Refereed)
Abstract [en]

ICT systems have become an integral part of business and life. At the same time, these systems have become extremely complex. In such systems exist numerous vulnerabilities waiting to be exploited by potential threat actors. pwnPr3d is a novel modelling approach that performs automated architectural analysis with the objective of measuring the cyber security of the modeled architecture. Its integrated modelling language allows users to model software and hardware components with great level of details. To illustrate this capability, we present in this paper the metamodel of UNIX, operating systems being the core of every software and every IT system. After describing the main UNIX constituents and how they have been modelled, we illustrate how the modelled OS integrates within pwnPr3d's rationale by modelling the spreading of a self-replicating malware inspired by WannaCry.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 127-136
Series
IEEE International Enterprise Distributed Object Computing Conference Workshops-EDOCW, ISSN 2325-6583
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-220666DOI: 10.1109/EDOCW.2017.26ISI: 000417417800020Scopus ID: 2-s2.0-85043606711ISBN: 978-1-5386-1568-3 (print)OAI: oai:DiVA.org:kth-220666DiVA, id: diva2:1171830
Conference
21st IEEE International Enterprise Distributed Object Computing Conference (EDOC), OCT 10-13, 2017, Quebec City, CANADA
Funder
EU, FP7, Seventh Framework Programme, 607109Swedish Civil Contingencies Agency
Note

QC 20180108

Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2018-02-20Bibliographically approved

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Vernotte, AlexandreJohnson, PontusEkstedt, MathiasLagerström, Robert

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