An algorithm for normal profile generation and for attack detection in terms of detection accuracy
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 10
Abstract
We present a DoS attack detection system that uses Multivariate Correlation Analysis (MCA) for precise network traffic description by take out the geometrical correlations between network traffic features. Our MCA-based DoS attack detection system uses the principle of anomaly-based detection in attack recognition. This makes our key competent of detecting known and unknown DoS attacks effectively by education the model of legitimate network traffic only. Furthermore, a triangle-area-based system is proposed to improve and to speed up the process of MCA. Networkbased detection systems can be classified into two main categories, namely misuse based detection systems and anomaly-based detection systems. Misuse-based detection systems detect attacks by monitoring network activities and come across for matches with the existing attack signatures. In malice of having high detection rates to known attacks and low false positive rates, misuse-based detection systems are without difficulty avoided by any new attacks and even alternative of the existing attacks.
Authors and Affiliations
Ch S V V S N Murty, Bonda Mownika
Keywords
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