Developing Proactive Defenses for Computer Networks with Coevolutionary Genetic Algorithms

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

@InProceedings{Lugo:2017:GECCO,

• author = "Anthony Erb Lugo and Dennis Garcia and Erik Hemberg and Una-May O'Reilly",
• title = "Developing Proactive Defenses for Computer Networks with Coevolutionary Genetic Algorithms",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "273--274",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• month = "15-19 " # jul,
• keywords = "genetic algorithms, genetic programming, cybersecurity coevolution, evolutionary algorithms, network",
• URL = "http://doi.acm.org/10.1145/3067695.3089234",
• DOI = "doi:10.1145/3067695.3089234",
• acmid = "3089234",
• size = "2 pages",
• abstract = "Our cybersecurity tool, RIVALS, develops adaptive network defence strategies by modelling adversarial network attack and defense behaviour in peer-to-peer networks via coevolutionary algorithms. Currently RIVALS DOS attacks are modestly modeled by the selection of a node that is completely disabled for a resource-limited duration. Defenders have three different network routing protocols. Attack or mission completion and resource cost metrics serve as attacker and defender objectives. This work also includes a description of RIVALS suite of coevolutionary algorithms that explore archiving as a means of maintaining progressive exploration and support the evaluation of different solution concepts. To compare and contrast the effectiveness of each algorithm, we execute simulations on 3 different network topologies. Our experiments show that it is possible to forgo the assurance of monotonically increasing results and still retain high quality results.",
• notes = "Also known as \cite{Lugo:2017:DPD:3067695.3089234} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

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

Citations