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Privacy Calculus: Maude implementation

Authors: Pitsiladis, Georgios;

Privacy Calculus: Maude implementation

Abstract

Philippou and Kouzapas have proposed a privacy-related framework, consisting of a variant of the π-calculus, called Privacy Calculus, that describes the interactions of processes, a privacy policy language, a type system that serves to check whether Privacy Calculus processes respect privacy policies. The file privacy-calculus/privacy.maude contains an executable implementation in the programming/specification language Maude of a version of the Privacy Calculus, along with its associated privacy policy language and type checker. For more information, see the file README.md. The files examples/example-sales.maude and examples/test-sales.maude include a simple example of how the implementation can be used. Compared to v0.2, this version: adds two Privacy Calculus processes: silent prefix and choice operator, merges some modules and splits the code into multiple files, renames some sorts (most importantly, private data types are renamed to user data types).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average