Grammatical Evolution with Coevolutionary Algorithms in Cyber Security

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

@InCollection{Hemberg:2018:hbge2,

• author = "Erik Hemberg and Anthony Erb Lugo and Dennis Garcia and Una-May O'Reilly",
• title = "Grammatical Evolution with Coevolutionary Algorithms in Cyber Security",
• booktitle = "Handbook of Grammatical Evolution",
• publisher = "Springer",
• year = "2018",
• editor = "Conor Ryan and Michael O'Neill and J. J. Collins",
• chapter = "17",
• pages = "407--431",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution",
• isbn13 = "978-3-319-78716-9",
• DOI = "doi:10.1007/978-3-319-78717-6_17",
• 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.",
• notes = "Part of \cite{Ryan:2018:hbge}",

}

Genetic Programming entries for Erik Hemberg Anthony Erb Lugo Dennis Garcia Una-May O'Reilly

Citations