IT Risk Management with Markov Logic Networks


Stülpnagel, Janno von ; Ortmann, Jens ; Schönfisch, Jörg



DOI: https://doi.org/10.1007/978-3-319-07881-6_21
URL: http://www.softplant.de/wp-content/uploads/2016/05...
Additional URL: https://www.semanticscholar.org/paper/IT-Risk-Mana...
Document Type: Conference or workshop publication
Year of publication: 2014
Book title: Advanced Information Systems Engineering : 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014, Proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 8484
Page range: 301-315
Date of the conference: 16-20 June 2014
Publisher: Jarke, Matthias
Place of publication: Cham
Publishing house: Springer Internat. Publ.
ISBN: 978-3-319-07880-9 , 978-3-319-07881-6
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: We present a solution for modeling the dependencies of an IT infrastructure and determine the availability of components and services therein using Markov logic networks (MLN). MLNs offer a single representation of probability and first-order logic and are well suited to model dependencies and threats. We identify different kinds of dependency and show how they can be translated into an MLN. The MLN infrastructure model allows us to use marginal inference to predict the availability of IT infrastructure components and services. We demonstrate that our solution is well suited for supporting IT Risk management by analyzing the impact of threats and comparing risk mitigation efforts.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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