Denial of service attack (DoS) is serious threat to the internet. The DoS attack affects on the computing systems such as database server, web server etc. Denial of Service attack prevents authorized user from accessing online services. Therefore effective detection of DoS attack is necessary for increasing the efficiency of server. The Multivariate correlation analysis(MCA) for network traffic characterization overcomes the problem of DoS attack. MCA uses triangle area technique for extracting correlative information between network traffic. Triangle area based method is used to speed up the MCA process. Then Support Vector Machine based classification technique used for attack classification using the triangle area based multivariate correlation information. The min-max normalization method presented to increase the detection rate of DoS attack.

Multivariate correlation analysis, DoS attack, support vector machine, Triangle area technique, normalization, detection rate

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