Service identification method applicable to broadband access network

A technology of broadband access network and identification method, which is applied in the field of service identification of broadband access network, can solve the problems of not extracting key features, adaptability and portability discount, classification fineness and coarse granularity, etc., to improve service Recognition performance, eliminating the difficulty of preprocessing, and refining the effect of business recognition

CN106130839AInactive Publication Date: 2016-11-16UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2016-11-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a service identification method applicable to a broadband access network. Multiple data frames of different servers of the broadband access network are screened, so that data frames corresponding to TCP and UDP protocols are obtained; service flow division of the data frames is carried out according to quintuple data; service flow flow-pool groups are established; various service flow flow-pool groups each comprise an uplink service flow flow-pool and a downlink service flow flow-pool; for each service flow flow-pool, a service type label is added; then, an integrated convolutional neural network is constructed; the integrated convolutional neural network comprises an uplink one-dimensional convolutional neural network, a downlink one-dimensional convolutional neural network, an interactive one-dimensional convolutional neural network and an arbitrament module; the three one-dimensional convolutional neural networks are respectively trained by adopting the service flow flow-pool groups; when the broadband access network is practically operated, the captured data frames are standardized into service flow data packets; and the service flow data packets are input into the convolutional neural networks, so that a service identification result is obtained. According to the service identification method applicable to the broadband access network disclosed by the invention, due to introduction of a convolutional neural network algorithm in deep learning, fine-grained and high-precision service identification can be realized.
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Description

technical field

[0001] The invention belongs to the technical field of broadband access networks, and more specifically relates to a service identification method applied to broadband access networks. Background technique

[0002] With the continuous development of broadband access network technology, broadband optical fiber access network technology has become one of the current hot technologies due to its advantages of large available bandwidth, good signal quality, and support for broadband services. Among them, the PON (Passive Optical Network, Passive Optical Network) technology has become the mainstream of today's access network technology due to its simple topology and low maintenance costs. Due to the pressure of bandwidth upgrade in PON access network technology, the processing capacity of its network equipment has developed from 1Gbps and 2.5Gbps to the current 10Gbps in just a few years, and even has a tendency to develop to 40Gbps and 100Gbps in the next few year...

Examples

Embodiment

[0034] figure 1 It is a flow chart of the specific implementation of the service identification method applied to the broadband access network of the present invention. Such as figure 1 As shown, the service identification method applied to the broadband access network of the present invention comprises the following steps:

[0035] S101: Screening data frames corresponding to TCP and UDP:

[0036] The data frames corresponding to the TCP and UDP protocols are obtained by screening a plurality of data frames of different services of the broadband access network.

[0037] The TCP and UDP protocols are the upper-layer protocols of the IP protocol. The IP protocols used in the broadband access network include IPV4 and IPV6 at present, and the most commonly used one is the IPV4 protocol. Therefore, the present embodiment uses the IPV4 protocol as an example to illustrate the technology of the present invention Program. figure 2 It is a flow chart of screening data frames corr...