Network Traffic Classification based on Unsupervised Approach
نویسندگان
چکیده
The IP network engineering, management and control are highly benefited by Network traffic classification and application identifi¬cation. There are many popular methods available namely port-based and payload-based but they have shown some disadvantages, and the machine learning based method is a potential one. Unsupervised learning deals with a class of problems in which one seeks to determine how the data are organized. The difference between
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تاریخ انتشار 2013