TY - JOUR
KW - Classification
KW - Neural Network
KW - Feature Transformation
KW - Internet Traffic
AU - B S Harish
AU - N Nagadarshan
AU - N Manju
AB - Recently, the efficient internet traffic classification has gained attention in order to improve service quality in IP networks. But the problem with the existing solutions is to handle the imbalanced dataset which has high uneven distribution of flows between the classes. In this paper, we propose a multilayer feedforward neural network architecture to handle the high imbalanced dataset. In the proposed model, we used a variation of multilayer perceptron with 4 hidden layers (called as mountain mirror networks) which does the feature transformation effectively. To check the efficacy of the proposed model, we used Cambridge dataset which consists of 248 features spread across 10 classes. Experimentation is carried out for two variants of the same dataset which is a standard one and a derived subset. The proposed model achieved an accuracy of 99.08% for highly imbalanced dataset (standard).
IS - Special Issue on Soft Computing
M1 - 1
N2 - Recently, the efficient internet traffic classification has gained attention in order to improve service quality in IP networks. But the problem with the existing solutions is to handle the imbalanced dataset which has high uneven distribution of flows between the classes. In this paper, we propose a multilayer feedforward neural network architecture to handle the high imbalanced dataset. In the proposed model, we used a variation of multilayer perceptron with 4 hidden layers (called as mountain mirror networks) which does the feature transformation effectively. To check the efficacy of the proposed model, we used Cambridge dataset which consists of 248 features spread across 10 classes. Experimentation is carried out for two variants of the same dataset which is a standard one and a derived subset. The proposed model achieved an accuracy of 99.08% for highly imbalanced dataset (standard).
PY - 2020
SP - 117
EP - 122
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Multilayer Feedforward Neural Network for Internet Traffic Classification
UR - https://www.ijimai.org/journal/sites/default/files/files/2019/11/ijimai20206_1_13_pdf_16647.pdf
VL - 6
SN - 1989-1660
ER -