A traffic classification method using machine learning algorithm

2.50
Hdl Handle:
http://hdl.handle.net/10547/302299
Title:
A traffic classification method using machine learning algorithm
Authors:
Chishti, Hamayoun Rauf
Abstract:
Applying concepts of attack investigation in IT industry, this idea has been developed to design a Traffic Classification Method using Data Mining techniques at the intersection of Machine Learning Algorithm, Which will classify the normal and malicious traffic. This classification will help to learn about the unknown attacks faced by IT industry. The notion of traffic classification is not a new concept; plenty of work has been done to classify the network traffic for heterogeneous application nowadays. Existing techniques such as (payload based, port based and statistical based) have their own pros and cons which will be discussed in this literature later, but classification using Machine Learning techniques is still an open field to explore and has provided very promising results up till now.
Citation:
Chishti, H.R. (2013) 'A Traffic Classification Method using Machine Learning Algorithm' MSC thesis. University of Bedfordshire
Publisher:
University of Bedfordshire
Issue Date:
2013
URI:
http://hdl.handle.net/10547/302299
Type:
Thesis or dissertation
Language:
en
Appears in Collections:
Masters e-theses

Full metadata record

DC FieldValue Language
dc.contributor.authorChishti, Hamayoun Raufen_GB
dc.date.accessioned2013-09-26T11:32:39Z-
dc.date.available2013-09-26T11:32:39Z-
dc.date.issued2013-
dc.identifier.citationChishti, H.R. (2013) 'A Traffic Classification Method using Machine Learning Algorithm' MSC thesis. University of Bedfordshireen_GB
dc.identifier.urihttp://hdl.handle.net/10547/302299-
dc.description.abstractApplying concepts of attack investigation in IT industry, this idea has been developed to design a Traffic Classification Method using Data Mining techniques at the intersection of Machine Learning Algorithm, Which will classify the normal and malicious traffic. This classification will help to learn about the unknown attacks faced by IT industry. The notion of traffic classification is not a new concept; plenty of work has been done to classify the network traffic for heterogeneous application nowadays. Existing techniques such as (payload based, port based and statistical based) have their own pros and cons which will be discussed in this literature later, but classification using Machine Learning techniques is still an open field to explore and has provided very promising results up till now.en_GB
dc.language.isoenen
dc.publisherUniversity of Bedfordshireen_GB
dc.subjectData mining techniquesen_GB
dc.subjectTraffic classification methoden_GB
dc.titleA traffic classification method using machine learning algorithmen
dc.typeThesis or dissertationen
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