Classification of Network Violation Detection Using Machine Learning

Authors

  • Syamala Rao Peketi NAGARJUNA UNIVERSITY
  • Dr. G. P. Saradhi Varma
  • Rajasekhar Mutukuri

DOI:

https://doi.org/10.37591/josettt.v4i3.1192

Abstract

Abstract

Nowadays, network intrusion is one of the biggest issues in the internet services. To solve this kind of issues, we proposed a solution to develop suitable IDS using (ML) machine learning algorithms. The pre-alter engine in IDS extracts significant characteristics from each network pattern connections. The central engine uses advanced characteristics as training input, and outputs the binary analysis result, i.e., attack vs. normal.

Keywords: Network, machine learning, networks pattern connections

Cite this Article

Syamala Rao P, Saradhi Varma GP, Rajasekhar Mutukuri. Classification of Network Violation Detection using Machine Learning. Journal of Software Engineering Tools & Technology Trends. 2017; 4(3): 1–8p.


Author Biography

  • Syamala Rao Peketi, NAGARJUNA UNIVERSITY

    DEPARTMENT OF INFORMATION TECHNOLOGY

    ASSOCIATE PROFESSOR

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Published

2018-01-11

Issue

Vol. 4 No. 3 (2017)

Section

Research Articles

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