Multivariate Correlation Analysis for Detection of Denial-Of-Service Attack
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
In networking systems, many Web servers, Database servers, Cloud computing servers and so on, are now under threats from network attackers. One of most common types of attack is denial-of-service (DoS) attacks which causes serious impact on these computing systems. Multivariate correlation analysis technique is used for accurate network traffic characterization by extracting the geometrical correlations between network traffic features. In MCA-based DoS attack detection method employs the principle of anomaly based detection technique in attack recognition. This makes system capable of detecting known and unknown DoS attacks effectively by learning the characteristics of legitimate network traffic only. Furthermore, to increase the speed and effectiveness of MCA process a triangle-area-based technique is used and the effectiveness of this detection system is evaluated using KDD Cup 99 data set, and the influences of both normalized data and non-normalized data on the performance of the proposed detection system.
Authors and Affiliations
Venkatesh, Santhosh Kumar A, Mahadevaswamy, Suresh C, Asha G R
Keywords
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