mc_quantitative_scenarios: Quantified information risk scenarios
In evaluator: Quantified Risk Assessment Toolkit
Description
Usage
Format
Source
Description
A sample set of quantified information security risk scenarios for the
demonstration (and artificial) MetroCare information security program.
Usage
1
Format
A dataset of quantified risk scenarios, with parameters
describing the distribution of each input.
- scenario_id
id of the scenario, primary key
- scenario_description
full text description of the risk scenario
- tcomm
description of the threat community
- domain_id
domain id
- control_descriptons
named list of the text description of controls involved
- scenario
tidyrisk_scenario objects
Source
This is hypothetical information. Any similarity to any other
entity is completely coincidental.
evaluator documentation built on July 6, 2021, 9:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Source
Description
A sample set of quantified information security risk scenarios for the demonstration (and artificial) MetroCare information security program.
Usage
1 |
Format
A dataset of quantified risk scenarios, with parameters describing the distribution of each input.
- scenario_id
id of the scenario, primary key
- scenario_description
full text description of the risk scenario
- tcomm
description of the threat community
- domain_id
domain id
- control_descriptons
named list of the text description of controls involved
- scenario
tidyrisk_scenarioobjects
Source
This is hypothetical information. Any similarity to any other entity is completely coincidental.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.