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Repository Details
In this work different types of network traffic such as: email, chat, browsing etc were classified using time related features. The main reasn behind using time related features is that they are encryption independent. For classification both ensemble learning and machine learning techniques were used. Here ISCXVPN 2016 dataset was used and to convert .arff file to csv arffToCsv.py file was used
