- author = "Una-May O'Reilly and Jamal Toutouh and Marcos Pertierra and Daniel {Prado Sanchez} and Dennis Garcia and Anthony Erb Luogo and Jonathan Kelly and Erik Hemberg",
- title = "Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where {GP} Matters",
- journal = "Genetic Programming and Evolvable Machines",
- year = "2020",
- volume = "21",
- number = "1-2",
- pages = "219--250",
- month = jun,
- note = "Twentieth Anniversary Issue",
- keywords = "genetic algorithms, genetic programming, grammatical evolution, SBSE, Competitive Coevolutionary algorithms, adversarial evolution, AI, games, Cyber Security, BNF grammars, Mod-sim, ESTABLO",
- ISSN = "1389-2576",
-
DOI = "
doi:10.1007/s10710-020-09389-y",
- size = "49 pages",
- abstract = "Cyber security adversaries and engagements are ubiquitous and ceaseless. We delineate Adversarial Genetic Programming for Cyber Security, a research topic that, by means of genetic programming (GP), replicates and studies the behaviour of cyber adversaries and the dynamics of their engagements. Adversarial Genetic Programming for Cyber Security encompasses extant and immediate research efforts in a vital problem domain, arguably occupying a position at the frontier where GP matters. Additionally, it prompts research questions around evolving complex behavior by expressing different abstractions with GP and opportunities to reconnect to the Machine Learning, Artificial Life, Agent-Based Modelling and Cyber Security communities. We present a framework called RIVALS which supports the study of network security arms races. Its goal is to elucidate the dynamics of cyber networks under attack by computationally modeling and simulating them.",
-
notes = "'RIVALS maintains two populations of competing
attackers and defenders'
DIFFRACTED DDOS DOS Attacks on Peer-to-Peer (P2P) Networks.
AVAIL Availability Attacks on Segmented Networks. Monte Carlo simulation model
DARK-HORSE Internal Reconnaissance in Software Defined Networks. POX SDN Controller, mininet, NMAP, honeypots
attacks, classifications and taxonomies can be found at https://cwe.mitre.org/index.html
PonyGE2 ?",
