A System for Denial of Service Attack Detection Based On Multivariate Corelation Analysis

Main Article Content

Sonam Deshmukh
Shoaib Inamdar
Sachin Waghmode

Abstract

in computing world, a denial-of-service (DoS) or is an process to make a machine or network resource unavailable to its regular users.DoS attack minimizes the efficiency of the server, inorder to increase the efficiency of the server it is necessary to identify the dos attacks hence MULTIVARIATE CORRELATION ANALYSIS(MCA)is used, this approach employs triangle area for obtaining the correlation information between the ip address. Based on extracted data the denial of service-attack is discovered and the response to the particular user is blocked, this maximizes the efficiency. Our proposed system is examined using KDD Cup 99 data set, and the influence of data on the performance of the proposed system is examined.

Article Details

How to Cite
[1]
Sonam Deshmukh, Shoaib Inamdar, and Sachin Waghmode, “A System for Denial of Service Attack Detection Based On Multivariate Corelation Analysis”, Int. J. Comput. Eng. Res. Trends, vol. 3, no. 3, pp. 149–151, Mar. 2016.
Section
Research Articles

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