AuthorsChishti, Hamayoun Rauf
MetadataShow full item record
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.
CitationChishti, H.R. (2013) 'A Traffic Classification Method using Machine Learning Algorithm' MSC thesis. University of Bedfordshire
PublisherUniversity of Bedfordshire
TypeThesis or dissertation
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