MCA Based Anonymous DoS Attacks Detection

Authors

  • S.Avinash Department of Computer Science & Engineering. Holymary Institute of Technology and Sciences, JNT University, Hyderabad, India
  • Y.Ramakrishna Department of Computer Science & Engineering. Holymary Institute of Technology and Sciences, JNT University, Hyderabad, India
  • J.Venkata krishna Department of Computer Science & Engineering. Holymary Institute of Technology and Sciences, JNT University, Hyderabad, India

Keywords:

Dos Attack Detection, Multi Variate Correlation Analysis

Abstract

All well organized systems, for example, net servers, document servers, distributed computing and so on… are presently under genuine attacks from system assailants. Denial of service attack is the standout amongst the most successive and forceful to processing frameworks. In this plan we propose a methodology called multivariate relationship investigation to distinguish an accurate movement stream characterization by separating the geometrical connection between known and obscure assaults. This framework incorporates abnormality recognition strategy for the identification of known and obscure Dos. Moreover Triangle Area Based method is utilized to accelerate the procedure of Multivariate Correlation Analysis (MCA). Proposed framework can be assessed by utilizing KDD cup dataset.

References

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Published

2015-05-30

How to Cite

[1]
A. S, R. Y, and Venkata krishna, “MCA Based Anonymous DoS Attacks Detection”, Int. J. Comp. Sci. Eng., vol. 3, no. 5, pp. 258–260, May 2015.

Issue

Vol. 3 No. 5 (2015): IJCSE May Edition

Section

Research Article

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Copyright (c) 2025 S.Avinash, Y.Ramakrishna, J.Venkata krishna

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