… of the most prevalent traffic classification techniques. Beside the … DPI techniques, we provide
an in-depth analysis of both the machine learning with statistical features and deep learning …

… published after several reviews. Our … machine learning methods with an effective dataset
and their features. This paper not only includes machine learning for network traffic classification…

… In the following, we will briefly review two of the most important deep neural networks that …
for network traffic classification, namely autoencoders and convolutional neural networks. …

… DL models for encrypted traffic classification. This paper addressed different DL-based
classification models for network traffic classification. Nevertheless, it did not review other NTMA …

… Attention mechanism is used to screen the network flow vector … the key features for network
traffic classification. In addition, we … network technology, big data analysis, and deep learning. …

… presents a systematic survey of machine learning solutions in network traffic classification at
… We provide a comprehensive review of the network traffic classification methods in the IoT …

… (PCA), Logistic regression, decision tree and Artificial Neural Network (ANN) … machine
learning algorithms, this research work implements algorithms like Linear Discriminant Analysis (…

… deep learning technology and does not describe all of the different techniques of cyber
security, unlike previous reviews … and traffic classification tasks, superiors all of the related work. …

… selection for internet traffic classification using machine learning algorithms and which also
… , we firstly consider accuracy metric for the evaluation and analysis of the machine learning …

… in ML/DL methods; hence this paper highlights the datasets used in machine learning
techniques, which are the primary tools for analyzing network traffic and detecting abnormalities. …