802.11 Network Intrusion Detection using Genetic Programming

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

@InProceedings{laroche:gecco05ws,

• author = "Patrick LaRoche and A. Nur Zincir-Heywood",
• title = "802.11 Network Intrusion Detection using Genetic Programming",
• booktitle = "Genetic and Evolutionary Computation Conference {(GECCO2005)} workshop program",
• year = "2005",
• month = "25-29 " # jun,
• editor = "Franz Rothlauf and Misty Blowers and J{\"u}rgen Branke and Stefano Cagnoni and Ivan I. Garibay and Ozlem Garibay and J{\"o}rn Grahl and Gregory Hornby and Edwin D. {de Jong} and Tim Kovacs and Sanjeev Kumar and Claudio F. Lima and Xavier Llor{\`a} and Fernando Lobo and Laurence D. Merkle and Julian Miller and Jason H. Moore and Michael O'Neill and Martin Pelikan and Terry P. Riopka and Marylyn D. Ritchie and Kumara Sastry and Stephen L. Smith and Hal Stringer and Keiki Takadama and Marc Toussaint and Stephen C. Upton and Alden H. Wright",
• publisher = "ACM Press",
• address = "Washington, D.C., USA",
• keywords = "genetic algorithms, genetic programming",
• pages = "170--171",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0170.pdf",
• abstract = "Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of features that the GP uses to train and test solutions which allow for the efficient and accurate detection of given attack patterns. However, when applied to a 802.11 network that is faced with attacks specific to the 802.11 protocol, the GP's detection rate reduces dramatically. We discuss what causes this effect, and what can be done to improve GP's performance on 802.11 networks.",
• notes = "Distributed on CD-ROM at GECCO-2005. ACM 1-59593-097-3/05/0006",

}

Genetic Programming entries for Patrick LaRoche Nur Zincir-Heywood

Citations