Vulnerability analysis of AIS-based intrusion detection systems via genetic and particle swarm red teams

@article{Dozier2004VulnerabilityAO,
  title={Vulnerability analysis of AIS-based intrusion detection systems via genetic and particle swarm red teams},
  author={Gerry V. Dozier and Douglas Brown and John Hurley and Krystal Cain},
  journal={Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)},
  year={2004},
  volume={1},
  pages={111-116 Vol.1}
}
Artificial immune systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). In this paper we compare a genetic hacker with 12 evolutionary hackers based on particle swarm optimization (PSO) that have been effectively used as vulnerability analyzers (red teams) for AIS-based IDSs. Our results show that the PSO-based red teams that use Clerc's constriction coefficient outperform those that do not. Our results also show that… CONTINUE READING
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