Cyberspace Situation Prediction Based on Gene Expression Programming

The accurate prediction of cyberspace situation is fundamental to intrusion prevention in large scale networks. After analyzing 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.