Jan 9, 2017 · In this paper, a real-time accurate SVM training model named SPP-SVM is proposed. An SPP-SVM is deducted from the scaling dataset and employs ...
In this paper, a real-time accurate SVM training model named SPP-SVM is proposed. An SPP-SVM is deducted from the scaling dataset and employs principal ...
Network traffic classification is a fundamental research topic on high‐performance network protocol design and network operation management.
Nov 17, 2016 · As a typical. ML method, support vector machines (SVMs) based on statistical theory has high classification accuracy and stability. However, the ...
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This paper uses the SVM (support vector machine) method to train 7 classes of applications of different characteristics, captured from a campus network ...
Gomes, Detection and classification of peer-to-peer traffic: a survey, ACM Computing Surveys, № 45, с. · Dainotti, Issues and future directions in traffic ...
In this paper, an improved network traffic classification model based on a support vector machine is proposed. First, a filter-wrapper hybrid feature selection ...
A hybrid model combining denoising method and support vector machine to predict traffic volume. •. The prediction performances of five denoising methods ...
Missing: classification | Show results with:classification
This work proposes the use of a supervised machine learning clustering method for traffic classification based on Support Vector Machines. We compare our method ...
Finally, a traffic classification and identification system based on support vector machine is realized. The final recognition rate of encrypted traffic is up ...