Automatic Rule Extraction from Access Rules Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{delasCuevas:2020:evoapplications,

• author = "Paloma {de las Cuevas} and Pablo Garcia-Sanchez and Zaineb {Chelly Dagdia} and Maria-Isabel Garcia-Arenas and Juan Julian {Merelo Guervos}",
• title = "Automatic Rule Extraction from Access Rules Using Genetic Programming",
• booktitle = "23rd International Conference, EvoApplications 2020",
• year = "2020",
• month = "15-17 " # apr,
• editor = "Pedro A. Castillo and Juan Luis {Jimenez Laredo} and Francisco {Fernandez de Vega}",
• series = "LNCS",
• volume = "12104",
• publisher = "Springer Verlag",
• address = "Seville, Spain",
• pages = "54--69",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Security, Corporate Security Policy, Rule extraction",
• isbn13 = "978-3-030-43721-3",
• video_url = "https://www.youtube.com/watch?v=-VTUGCH3Em0",
• DOI = "doi:10.1007/978-3-030-43722-0_4",
• 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.",
• 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