Automatic Rule Extraction from Access Rules Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{delasCuevas:2020:evoapplications,
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author = "Paloma {de las Cuevas} and Pablo Garcia-Sanchez and
Zaineb {Chelly Dagdia} and
Maria-Isabel Garcia-Arenas and Juan Julian {Merelo Guervos}",
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title = "Automatic Rule Extraction from Access Rules Using
Genetic Programming",
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booktitle = "23rd International Conference, EvoApplications 2020",
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year = "2020",
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month = "15-17 " # apr,
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editor = "Pedro A. Castillo and Juan Luis {Jimenez Laredo} and
Francisco {Fernandez de Vega}",
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series = "LNCS",
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volume = "12104",
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publisher = "Springer Verlag",
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address = "Seville, Spain",
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pages = "54--69",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming, Security,
Corporate Security Policy, Rule extraction",
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isbn13 = "978-3-030-43721-3",
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video_url = "https://www.youtube.com/watch?v=-VTUGCH3Em0",
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DOI = "doi:10.1007/978-3-030-43722-0_4",
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abstract = "The security policy rules in companies are generally
proposed by the Chief Security Officer (CSO), who must,
for instance, select by hand which access events are
allowed and which ones should be forbidden. In this
work we propose a way to automatically obtain rules
that generalise these single-event based rules using
Genetic Programming (GP), which, besides, should be
able to present them in an understandable way. Our
GP-based system obtains good dataset coverage and small
ratios of false positives and negatives in the
simulation results over real data, after testing
different fitness functions and configurations in the
way of coding the individuals.",
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notes = "http://www.evostar.org/2020/ EvoApplications2020 held
in conjunction with EuroGP'2020, EvoMusArt2020 and
EvoCOP2020",
- }
Genetic Programming entries for
Paloma de las Cuevas Delgado
Pablo Garcia-Sanchez
Zaineb Chelly Dagdia
Maria-Isabel Garcia-Arenas
Juan Julian Merelo
Citations