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HyRiM (version 1.0.3)

Multicriteria Risk Management using Zero-Sum Games with Vector-Valued Payoffs that are Probability Distributions

Description

Construction and analysis of multivalued zero-sum matrix games over the abstract space of probability distributions, which describe the losses in each scenario of defense vs. attack action. The distributions can be compiled directly from expert opinions or other empirical data (insofar available). The package implements the methods put forth in the EU project HyRiM (Hybrid Risk Management for Utility Networks), FP7 EU Project Number 608090. The method has been published in Rass, S., Knig, S., Schauer, S., 2016. Decisions with Uncertain Consequences-A Total Ordering on Loss-Distributions. PLoS ONE 11, e0168583. , and applied for advanced persistent thread modeling in Rass, S., Knig, S., Schauer, S., 2017. Defending Against Advanced Persistent Threats Using Game-Theory. PLoS ONE 12, e0168675. . A volume covering the wider range of aspects of risk management, partially based on the theory implemented in the package is the book edited by S. Rass and S. Schauer, 2018. Game Theory for Security and Risk Management: From Theory to Practice. Springer, , ISBN 978-3-319-75267-9.

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Version

Install

install.packages('HyRiM')

Monthly Downloads

213

Version

1.0.3

License

GPL-3

Maintainer

Austrian of Technology

Last Published

November 18th, 2019

Functions in HyRiM (1.0.3)

mosg

Construction and handling of multi-objective security games
disappointmentRate

computation of the disappointment rate
lossDistribution

construction and handling of loss distributions
moment

compute moments of loss distributions
mgss

compute a multi-goal security strategy
variance

Computes the approximate variance of a loss distribution.
cdf

(cumulative) loss distribution function
HyRiM-package

HyRiM
preference

Decision on preferences between loss distributions
mosg.equilibrium

embodies all information related to an equilibrium computed by the function mgss.