Grammatical Evolution with Coevolutionary Algorithms in Cyber Security
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{Hemberg:2018:hbge2,
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author = "Erik Hemberg and Anthony Erb Lugo and
Dennis Garcia and Una-May O'Reilly",
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title = "Grammatical Evolution with Coevolutionary Algorithms
in Cyber Security",
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booktitle = "Handbook of Grammatical Evolution",
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publisher = "Springer",
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year = "2018",
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editor = "Conor Ryan and Michael O'Neill and J. J. Collins",
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chapter = "17",
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pages = "407--431",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution",
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isbn13 = "978-3-319-78716-9",
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DOI = "doi:10.1007/978-3-319-78717-6_17",
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abstract = "We apply Grammatical Evolution (GE), and multi
population competitive coevolutionary algorithms to the
domain of cybersecurity. Our interest (and concern) is
the evolution of network denial of service attacks. In
these cases, when attackers are deterred by a specific
defence, they evolve their strategies until variations
find success. Defenders are then forced to counter the
new variations and an arms race ensues. We use GE and
grammars to conveniently express and explore the
behaviour of network defences and denial of service
attacks under different mission and network scenarios.
We use coevolution to model competition between attacks
and defenses and the larger scale arms race. This
allows us to study the dynamics and the solutions of
the competing adversaries.",
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notes = "Part of \cite{Ryan:2018:hbge}",
- }
Genetic Programming entries for
Erik Hemberg
Anthony Erb Lugo
Dennis Garcia
Una-May O'Reilly
Citations