公开(公告)号：US20220374733A1

公开(公告)日：2022-11-24

申请号：US17761220

申请日：2019-12-27

Applicant: INSTITUTE OF COMPUTING TECHNOLOGY, CHINESE ACADEMY OF SCIENCES

Inventor： Gaogang XIE ,  Xinyi ZHANG ,  Penghao ZHANG

IPC: G06N5/02 ,  G06K9/62 ,  G06N3/02

Abstract: The disclosure provides a data packet classification method and system based on a convolutional neural network including merging each rule set in a training rule set to form a plurality of merging schemes, and determining an optimal merging scheme for each rule set in the training rule set on the basis of performance evaluation; converting a prefix combination distribution of each rule set in the training rule set and a target rule set into an image, and training a convolutional neural network model by taking the image and the corresponding optimal merging scheme as features; and classifying the target rule set on the basis of image similarity, and constructing a corresponding hash table for data packet classification.