We present a solution for modeling the dependencies of an IT#R##N#infrastructure and determine the availability of components and services#R##N#therein using Markov logic networks (MLN). MLNs offer a single representation#R##N#of probability and first-order logic and are well suited to model#R##N#dependencies and threats. We identify different kinds of dependency and#R##N#show how they can be translated into an MLN. The MLN infrastructure#R##N#model allows us to use marginal inference to predict the availability of#R##N#IT infrastructure components and services. We demonstrate that our solution#R##N#is well suited for supporting IT Risk management by analyzing#R##N#the impact of threats and comparing risk mitigation efforts.
['Janno von Stülpnagel', 'Jens Ortmann', 'Joerg Schoenfisch']
IT Risk Management with Markov Logic Networks