A Study of Network Abnormal Traffic Detection Algorithm Based on Boosting
Zhenyang Yu · Journal of Huaiyin Institute of Technology · 2011
From the perspective of machine learning system,detecting network traffic is studied.Boosting algo-rithm is applied to the detection of network's abnormal traffic in the weak design of two different learning meth-ods: an estimated multivariate Gaussian distribution and the estimated super-sphere region.Experimental re-sults show that the detection algorithm based on Boosting is superior to the first class of support vector machines,which indicates that,as a general strategy to enhance the performance of weak learning algorithm,Boosting is effective in non-supervision cases.