International Journal of Ethics in Engineering & Management Education (IJEEE)
Interconnected systems, such as Web servers, database servers, cloud computing servers, etc., are now under threads from network attackers. As one of most common and aggressive means, Denial-of-Service (DoS) attacks cause serious impact on these computing systems. In this paper, proposed system uses Multivariate Correlation Analysis (MCA) for accurate network traffic characterization by extracting the geometrical correlations between network traffic features. The authors' MCA-based DoS attack detection system employs the principle of anomaly-based detection in attack recognition.