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Network Security Using Macine Learning

By Onyecherelam Henry Agbaeze  et al

Summary

This paper focuses on Machine Learning Algorithms used in Network Security
Network Security Using Macine Learning
 
4.0 (1 reviews)

Published: March 28, 2017

Uploaded by: Agbaeze Henry

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Abstract

Abstract—Securing a computer network has been a major
challenge for IT professionals over the years. With more
advances in technology and the rising dependency of companies
on their network infrastructure, providing a secure network
has never been more import. Intrusion detection systems have
been extensively used but rule base systems are unable to deal
with new attack vectors that have never been seen in the past
and they have the tendency to flag too many packets as being
malicious leaving the IT personnel with too much filter work to
do. Machine learning and Artificial intelligence has proved to
be one of the best tools for solving many decision or predictive
problems. The idea that machines can learn from previous data
has opened endless possibilities. It is this capability that is now
being harnessed to solve the problem of security in networked
systems. This paper takes a survey of some of the popular
machine learning algorithms that has been implemented in
practice to provide a much more secured network infrastructure
and some of the strengths and likely weakness of each.

About the Authors

Onyecherelam Henry Agbaeze

Onyecherelam Henry Agbaeze

 Aditya Gaonkar

Aditya Gaonkar

Akshay Dubey

Akshay Dubey

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