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Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis

Author(s):

Meghana B. Shetty , Mangalore Institute of Technology & Engineering Moodbidri, Karnataka, India 575025; Krishnamoorthy K , Mangalore Institute of Technology & Engineering

Keywords:

DOS (Denial of Service), KDD Cup 99 Dataset, MCA Process

Abstract

The threat of cyber-attacks systems, such as web servers, databases servers and cloud computing, the most common and aggressive media, DoS can cause a serious impact on the computer systems. DoS attack detection system for a specific network traffic used by the geometric relationship between feature extraction network traffic in the characterization of MCA. The system detects DoS attacks, using anomaly recognition principle MCA. The solution can effectively detect known and unknown DoS attack, study legal network traffic patterns. The purpose of the triangular space technology is to improve and accelerate the MCA process. Effectiveness of the proposed tracking system is the use of KDD Cup 99 dataset and affects both non-standard, standard measures data of the proposed tracking system.

Other Details

Paper ID: IJSRDV4I31630
Published in: Volume : 4, Issue : 3
Publication Date: 01/06/2016
Page(s): 1838-1841

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