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CNN SYSTEM FOR PACKET PAYLOAD-BASED NETWORK TRAFFIC CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK

机译:卷积神经网络的基于分组有效载荷的CNN网络流量分类

摘要

The present invention transforms network traffic data into a data set in the form of an image of a packet unit, learns the converted data set through a CNN (Convolutional Neural Network) model, and improves the classification accuracy of the network traffic based on the CNN Based network traffic that uses CNN to easily identify the statistical characteristics of network traffic through classification of network traffic by machine learning and to easily establish policies and plans related to network traffic based on the statistical characteristics of network traffic. Classification system.
机译:本发明将网络流量数据转换成数据包单元图像形式的数据集,通过CNN(卷积神经网络)模型学习转换后的数据集,并基于CNN提高网络流量的分类精度。使用CNN通过机器学习对网络流量进行分类来轻松识别网络流量的统计特征并基于网络流量的统计特征轻松建立与网络流量相关的策略和计划的基础网络流量。分类系统。

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