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We employ 26 different access requests that together cover every branch of the original policy tree.
The leafs of the policy tree are called atomic policies, the others are called composed policies.
However, we deliberatly limit the granularity to sub-policies in the policy tree.
For composed policies, confidentiality applies to the whole policy tree below it.
Throughout the algorithm, several policy transformations are applied to the policy tree (see Equations (T1 T9)).
Policy tree optimization and corresponding open-source software provide a generalizable, interpretable approach to policy design under uncertainty.
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This work extends and applies the general principles discussed in their work on practical policy trees to achieve an algorithm for policy federation.
Both CSP SecLA provisions and user requirements are expressed using a special data structure: Quantitative Policy Trees, allowing expressing controls with different granularity: CCM control areas, control groups, and controls (corresponding to CAIQ answers).
This approach has performed successfully on large policy trees [38] and has favorable convergence properties [35].
Unbalanced policy trees, with one subtree much deeper than another, are natural topologies to produce such an unfavorable grouping of solutions.
Our choice of UCT was based on the insight that, with some careful modeling, disease intervention strategies can be nicely mapped onto policy trees and that this approach can be coupled to any stochastic epidemic model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com