A Survey on Multivariate Correlation Analysis for Denial of Service Attack Detection

Sana Chaugale, Dr. Tanuja Dhope

Abstract: Denial of Service attacks (Dos) cause serious effect on systems. Due to shared nature of the medium in wireless networks it makes the situation too easy to make possibility of an attack. DoS attack detection system uses Multivariate Correlation Analysis (MCA) for most accurate network traffic characterization. MCA extract the geometrical correlations between network traffic features. MCA DoS attack detection system employs the principle of anomaly-based detection during attack recognition. This makes more easy for detecting known and unknown DoS attacks by simply learning the patterns of legitimate network traffic.

Keywords: Denial of Service, KDD cup99, multivariate correlation, triangle area

How to Cite?: Sana Chaugale, Dr. Tanuja Dhope, "A Survey on Multivariate Correlation Analysis for Denial of Service Attack Detection", Volume 3 Issue 12, December 2014, International Journal of Science and Research (IJSR), Pages: 984-987, https://www.ijsr.net/getabstract.php?paperid=SUB14514, DOI: https://dx.doi.org/10.21275/SUB14514