IT Risk Management with Markov Logic Networks

@inproceedings{Stlpnagel2014ITRM,
  title={IT Risk Management with Markov Logic Networks},
  author={Janno von St{\"u}lpnagel and Jens Ortmann and Joerg Schoenfisch},
  booktitle={CAiSE},
  year={2014}
}
  • Janno von Stülpnagel, Jens Ortmann, Joerg Schoenfisch
  • Published in CAiSE 2014
  • Computer Science
  • 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… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 16 REFERENCES

    High-availability computer systems

    VIEW 16 EXCERPTS
    HIGHLY INFLUENTIAL

    Managing it risk in a fast-changing environment

    • Ernst, Young
    • Technical report, Ernst & Young,
    • 2013
    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Bayesian Logic Programs

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Trend and risk report 2012

    • IBM X-Force
    • Technical report, IBM X-Force,
    • 2013
    VIEW 1 EXCERPT