From Biological to Computational Arms Races -- Studying Cyber Security Dynamics

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InCollection{O'Reilly:2020:beacon,

• author = "Una-May O'Reilly and Erik Hemberg",
• title = "From Biological to Computational Arms Races -- Studying Cyber Security Dynamics",
• booktitle = "Evolution in Action: Past, Present and Future: A Festschrift in Honor of Erik D. Goodman",
• publisher = "Springer",
• year = "2020",
• editor = "Wolfgang Banzhaf and Betty H. C. Cheng and Kalyanmoy Deb and Kay E. Holekamp and Richard E. Lenski and Charles Ofria and Robert T. Pennock and William F. Punch and Danielle J. Whittaker",
• series = "Genetic and Evolutionary Computation book series",
• chapter = "27",
• pages = "409--422",
• keywords = "genetic algorithms, genetic programming, arms race, dynamics, cyber security, adversarial coevolution, Distributed Denial of Service, coevolutionary algorithm, network, peer-2-peer, decision support, grammar",
• isbn13 = "978-3-030-39833-0",
• DOI = "doi:10.1007/978-3-030-39831-6_27",
• abstract = "The design of computational arms races can draw upon the compelling inspiration of biological arms races. To study cyber security attack-defense dynamics, we have abstracted a description of biological adversarial ecosystems to design an adversarial computational system. The system has elements and processes with abstracted biological analogs. It centers on engagements. Engagements feature adversarial actors (predator/attacker, prey/defender) competing with conflicting objectives culminating in a measurable performance-based outcome. Adversarial dynamics are controlled by coevolution, which selects for better adversaries over multiple engagements using aggregate engagement performance as fitness. Altogether, this system abstracted from nature is capable of population-based, arms race dynamics arising from interacting, evolving adversaries.",
• notes = "GP?",

}

Genetic Programming entries for Una-May O'Reilly Erik Hemberg

Citations