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

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.