Cyberspace Situation Prediction Based on Gene Expression Programming

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@InProceedings{conf/icnc/GaoGCLG09,

• title = "Cyberspace Situation Prediction Based on Gene Expression Programming",
• author = "HongLei Gao and WenZhong Guo and GuoLong Chen and YanHua Liu and Mei Gao",
• booktitle = "Fifth International Conference on Natural Computation, 2009. ICNC '09",
• year = "2009",
• editor = "Haiying Wang and Kay Soon Low and Kexin Wei and Junqing Sun",
• month = "14-16 " # aug,
• address = "Tianjian, China",
• publisher = "IEEE Computer Society",
• isbn13 = "978-0-7695-3736-8",
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• pages = "191--195",
• bibdate = "2010-01-22",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icnc/icnc2009-4.html#GaoGCLG09",
• DOI = "doi:10.1109/ICNC.2009.42",
• abstract = "The accurate prediction of cyberspace situation is fundamental to intrusion prevention in large scale networks. After analysing the cyberspace situation, a cyberspace situation prediction model based on gene expression programming (GEP-CSP) is proposed, to predict the time series of cyberspace situation. Besides, since its own intrinsic characteristics, GEP-CSP solves the problem that the traditional time series methods can't make an accurate prediction without the pre-knowledge. By employing GEP-CSP, the experiments on Abilene network flow data reached the expectation and made a precise prediction.",

}

Genetic Programming entries for HongLei Gao WenZhong Guo GuoLong Chen YanHua Liu Mei Gao

Citations