Cyberspace Situation Prediction Based on Gene Expression Programming
作者： HongLei Gao , WenZhong Guo , GuoLong Chen , YanHua Liu , Mei Gao
DOI: 10.1109/ICNC.2009.42
关键词: Artificial intelligence 、 Computer science 、 Gene expression programming 、 Series (mathematics) 、 Scale (ratio) 、 Intrusion prevention system 、 Cyberspace 、 Machine learning
摘要: The accurate prediction of cyberspace situation is fundamental to intrusion prevention in large scale networks. After analyzing the situation, a model based on gene expression programming (GEP-CSP) proposed, predict time series situation. Besides, since its own intrinsic characteristics, GEP-CSP solves problem that traditional methods can’t make an without pre-knowledge. By employing GEP-CSP, experiments Abilene network ?ow data reached expectation and made precise prediction.
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