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title

A REVIEW ON DENIAL-OF-SERVICE ATTACK DETECTION TECHNIQUES BASED ON MULTIVARIATE CORRELATION ANALYSIS

Author(s):

Santosh Khot

Keywords:

Multivariate Correlation Analysis, Denial-of-Service attack, multivariate correlations, triangle area.

Abstract

Denial of Service (DoS) attacks are a critical threat to the Internet. It is very laborious to trace back the attackers for the reason that of memory less feature of the web routing mechanisms. As a result, there's no effective and economical technique to handle this issue. This paper discusses the effects of multivariate correlation analysis on the DoS detection. MCA based DoS attack detection system employs the principle of anomaly-based detection in attack recognition. This makes our resolution capable of detective work glorious and unknown DoS attacks effectively by learning the patterns of legitimate network traffic solely. DoS attacks that is based on MCA between normal and DoS attack traffic, which is fundamentally different from commonly used packet marking techniques. This technique is employed to spot the attackers with efficiency and supports an oversized quantifiability. Furthermore, a triangle-area based technique is used to enhance and to speed up the process of MCA. This technique is applied to bang the attackers in an exceedingly wide space of network that was a lot of economical and shield the info from the attackers.

Other Details

Paper ID: IJSARTV
Published in: Volume : 3, Issue : 3
Publication Date: 3/1/2017

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