A real time system for denial of service attack detection based on multivariate correlation analysis approach

Now-a-days, Denial of Service (DOS) attacks are emerging as most dangerous threat for variety of inter-connected web servers. Internet users require internet for performing different task such as online activities like general information surfing, online banking etc. DOS attack averts the users from using these amenities hence, it is essential to detect DOS attack. This paper demonstrates a novel approach named as Multivariate correlation analysis based denial of service attack detection system in real time. Our MCA approach makes use the principles of anomaly based detection system and to speed the process of MCA triangle area approach is implemented over the complete system. MCA calculates the geometrical co-relations between network traffic structures. The efficiency of the system is checked by three different datasets KDD cup 99 dataset, second is the advanced and improved NSL dataset and any real time dataset.