Cyberspace Situation Prediction Based on Gene Expression Programming

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  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,
  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