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HyRiM (version 2.0.2)

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., König, 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., König, 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

2.0.2

License

GPL-3

Maintainer

Stefan Rass

Last Published

December 8th, 2022

Functions in HyRiM (2.0.2)

HyRiM-package

tools:::Rd_package_title("HyRiM")
mosg.equilibrium

embodies all information related to a lexicographic Nash equilibrium computed by the function mgss.
mgss

compute a multi-goal security strategy
moment

compute moments of loss distributions
variance

Computes the approximate variance of a loss distribution.
lossDistribution

construction and handling of loss distributions
[.mosg

Extract or replace parts of a game's payoff matrix
preference

Decision on preferences between loss distributions
cdf

(cumulative) loss distribution function
mosg

Construction and handling of multi-objective security games
disappointmentRate

computation of the disappointment rate